Detection of targets in clutter

Detection of targets in clutter. In this paper, a multi-frame time-frequency (TF) analysis–based target-detection method is proposed. Fig. However, some targets of interest In radar target detection problems, the detection performance relies heavily on the signal-to-clutter-ratio (SCR). We notice that they all provide excellent abilities to distinguish sea clutter bin and primary target bin. e. The basic clutter configuration was that of criteria for target detection in urban clutter configurations. Jul 21, 2014 · This paper recast detection of sea-surface floating small targets as a one-class anomaly detection problem in the 3D feature space, and proposes a tri-feature-based detector that attains better detection performance than several existing detectors. The proposed method is mainly designed to address two issues. In the simulations, the radar carrier frequency is f c = 1 GHz, bandwidth is B = 5 MHz, sampling rate is f s = 2 B, PRI is T = 50 μ s May 15, 2007 · Abstract: The dynamic adaptation of waveforms for transmission by active radar has been facilitated by the availability of waveform-agile sensors. Certain flies (as well as other kinds of insects) detect and track small moving objects as they engage in rapid pursuits, demonstrating the capability to discriminate between targets (e. To address this issue, we resort to another time dimension to Feb 24, 2018 · Target detection is a hot topic in the research of sea clutter. are important problems in remote sensing and radar signal processing applications, for a number. Consequently, differences between these features in the Doppler domain cannot be readily observed, which greatly increases the difficulty in detecting Feb 9, 2017 · Small target detection in the maritime environment remains a challenging problem. The filtering process and manifold projection are incorporated into the detector design. This assumption, however, is Jun 1, 2020 · Target detection is based on difference at Hurst exponents rather than their magnitudes between sea clutter and target returns plus sea clutter. ) can be located in the sky, horizon and sea regions, which have different types of clutters, such as Apr 1, 2023 · When K is equal to 1. The first one is the dilemma between the weak Apr 24, 2022 · Using a higher dimensional detection variable, the Doppler spectrum, rather than the one-dimensional amplitude information, is expected to achieve improved detection performance. This task becomes even more challenging if the pursuer is itself surface small targets detection, where the feature vectors of sea clutter plus radar returns of targets under test are used as training samples. This detection threshold is a parameter that affects the detection probability of targets and the distribution of clutter measurements, so it is important to determine a proper threshold to improve Aug 31, 2020 · In this paper, an Integrated Network (INet) for clutter suppression and target detection algorithm is proposed and designed to optimize the signals received from the targets. In this paper, we investigate the detection Aug 30, 2019 · Aiming at the problem of UAV target detection and parameter estimation in non-homogeneous clutter with STLFMCW radar, a SK-CFAR detector is proposed based on the local spectrum refinement. In the real world, clutter normally generates many false detections that impede the deployment of such detection systems. The performance of conventional detectors for radar targets is seriously degraded due to both the starvation of training samples for estimating the clutter covariance matrix and the non-Gaussianity of sea clutter. 2 0. This Chapter examines the problem of coherent multilook radar detection of targets in the sea from an airborne maritime surveillance platform. We model the target Weak target detection is a challenging problem in non-side-looking airborne radar (non-SLAR) system due to the strong near-range clutter. In this letter, we adopt the inverse Gaussian Jul 12, 2018 · This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of dynamic programming based on track-before-detect (DP–TBD) in radar systems. INTRODUCTION and the detector proposed in [8] does not support the constant HE detection of static or slowly moving targets in heavy- T clutter environments is considered a further improvement in detection performance. 1 Detection problem description Sea clutter received by marine radar is inevitably corrupted by noise. In this paper, we propose a method to employ waveform agility to improve the detection of low radar-cross section (RCS) targets on the ocean surface that present low signal-to-clutter ratios due to high sea states and low grazing angles. It is seen that MC results match the analytical ones well. erties of sea clutter echoes obtained with a high-resolution radar and the detection of _ _ targets in non-Rayleigh sea clutter. To whiten clutter, it is required to estimate the covariance matrix of a received clutter, while a proper set or estimate of the parameters of clutter subspace model is required to null the received clutter. The first statistic measures the discrepancy between sea clutter and low observable Modern radar systems use square-law detectors to search and track fluctuating targets embedded in Weibull-distributed ground clutter. To achieve effective clutter suppression and dim targets detection, a novel Clutter is defined as any unwanted radar return. Incoming targets (missiles, boats, etc. This study commences with a proposal of median-based estimator to estimate the power Amid radar target detection fields, the detection of small floating targets in sea clutter is a tough but crucial task. The variation of clutter distributions with Step frequency waveforms have been used in measurement radars in anechoic chambers for high resolution imaging of stationary or rotating targets in one or two dimensions. In particular, for low grazing angles and high sea states, wave shading and sea spikes make the small target detection even more difficult. The purpose of this report is to present a unified AL summary on the status of this work. We find that two specific fractal statistics, i. The holes were colocalized with the possible positions of the target at distances ranging from 25 to 35 cm The Sea is having a lot of clutter scatters, radar echoes those are superimposed and it is exposure to electromagnetic signals generated by the sea, and it is affected by the wind, ocean currents, waves and other exhibits of non-uniform and non-stationary parameters, this will create an impact on radar target detection capability. Three phase features, which correspond to May 1, 2018 · Under the pre-set detection threshold, different false alarm rates are achieved by changing the occurrence density of false target-like sea clutter (i. The detected results in the two trifeature-based detectors are combined into the binary output of the detector in terms of the “OR” operation. In this paper, we investigate the problem of detecting and tracking small targets in sea clutter using the Bernoulli Track-Before-Detect filter. Dual-function radar and communication (DFRC) has recently drawn significant attention due to its enormous potential. Different from traditional residual networks, RepVGG keeps an acceptable calculation speed. We propose a novel signal-to-signal network to learn the temporal characteristics of the background and the clutter, in 2Problem formulation and sea clutter data 2. However in operational scenarios such as detection of moving targets, frequency step waveform spreads the target return and shifts the target range resulting in a loss of target magnitude, range accuracy and range resolution Apr 6, 2022 · Detection of floating small targets in sea clutter is a challenging problem for maritime surveillance radar. INTRODUCTION The probability density function (after detection and video integration) 1 for a fluctuating target in gaussian noise has been known for some years now. First, a scalar constant false alarm rate (CFAR) detection is employed in each frequency channel formed by subsampled Aug 30, 2023 · Assuming the stochastic model of Target Impulse Response (TIR), we address the radar waveform-filter design for extended targets with the recently proposed probabilistically robust detection criterion. The polarization diversity and spillover of target energy to consecutive range bins are jointly exploited to enhance the performance of target detection. We introduce a new polarimetric radar model that includes the realistic dependence of the clutter reflections on the transmitted signal. Dec 22, 2021 · This article deals with the problem of detecting a marine target with coherent radars in a correlated heavy-tailed sea clutter background. The heavy-tailed sea clutter is modeled by a compound-Gaussian model, and the clutter texture is characterized by the lognormal distribution with a new parameterization form. It includes a pre-processing time-frequency block implemented by the Wigner-Ville distribution, which provides a Jun 1, 2012 · In fact, past studies conclude that Doppler processing methods in conjunction with AI techniques can be considered as a reliable way to detect clutter using single polarization Doppler radars since the radial velocity product is a good indicator of the location of ground clutter (i. 4 0. Polarization diversity in radar is useful to detect targets , particularly when Doppler discrimination is not possible. Maritime radars traditionally use non-coherent processing methods due to the time-varying and range-varying nature of the Doppler spectra. From the scattering mechanism, it was found that the fractal dimension of sea clutter is rel-evant to the roughness of the sea surface [3, 4]. The extended target echo is corrupted by clutter and receiver noise. Obtaining a stable test statistic estimate of the clutter of the cell In a clutter-dominant target detection problem, an adaptive detector needs to either whiten or null the clutter prior to signal detection. This report develops the theory for the detection of a steady signal in log-normal clutter by first using a single pulse and then by using the sum of N pulses integrated Jun 16, 2023 · In a multitarget tracking (MTT) scenario, the prior knowledge of parameters such as clutter rate and detection probability are usually uncertain or estimated offline from training data. The radar of interest operates at high resolution, and at a high grazing angle, with frequency in X-Band, and is fully polarised. However, signals reflected from vessels are concealed by sea clutter in the Doppler spectrum, where such detections are performed. Let x (t) be a single pulse waveform having finite total energy E x with finite-duration T and finite-bandwidth W. Jan 6, 2022 · We consider the detection problem of maritime radar targets in the training-sample-starved and non-Gaussian sea clutter environment. By using zoom-FFT, the two-dimensional spectrum of the received signal is extracted for local template matching. Small target detection in high-resolution sea clutter is one of the important problems in radar target detection. Aiming at fast small target detection in high‐resolution maritime surveillance radars, this letter proposes a fast detection method using multiple salient features Sep 1, 2023 · A novel adaptive architecture is conceived to face with the problem of multiple point-like targets detection buried in Gaussian disturbance with the lacking of targets information, including their positions, number, and angles of arrival. Nevertheless, as the number of features increases, traditional algorithms with dimension limitation are not Nov 11, 2016 · The detection performance of the proposed method for single terahertz radar and DTRN are both examined with the data synthesized by real range-spread targets data and real clutter data. As strong clutter energy is accumulated along with the target in multiple frames, low SNR targets are still annihilated in clutter. The former gives the upper bound of the integration time for sea clutter to be able to be modelled by the simple SIRV model. , Q = 1, 2, 3, respectively, shown in Fig. [ 2 , 3 ]. 4 . Oct 1, 1990 · Techniques for analyzing and improving the detection performance of IRST systems, and an improved adaptive threshold scheme to improve system performance in the presence of large intensity gradients, are presented. Traditional clutter suppression algorithms for non-SLAR usually use single frame data to estimate the covariance matrix or power spectrum, and the lack of samples makes the suppression performance weaker. 8a–d show the target detection results among 14 range bins via the four fractal characteristics in FRFT domain, respectively, that is, FD, intercept, FFE and FDV. An efficient solution to address the issue is feature-based detection method based on distinguishable features extracted from sea clutter and returns with target. In this letter, we propose to suppress the sea clutter by orthogonal projection (OP). Feb 1, 2024 · Because of the complex time and spatial correlation characteristics of sea clutter, target detection under complex non-uniform sea clutter and low signal-to-clutter ratio (SCR; the ratio of the intensity of the received true signal to that of the clutter interference) conditions severely constrain the radar detection performance [2], [3], [4 For instance, the detection statistic derived from the scheme presented in [7] has a closed-form ex- pression only for the special case of two polarimetric channels, I. The main idea is that a weak transient disturbance will appear in the TPs of target-present pixels, changing the TP’s characteristics. For sea-surface floating targets without regular movement, it is hard for traditional model-based methods to achieve satisfying performance. The detection of small targets in infrared (IR) clutter is a problem of critical importance to Infrared Search and Track (IRST) systems. Therefore, detecting the range-spread target using HRRPs which are received from multiple characteristics of sea clutter amplitude time series were first revealed and used for floating small target detection [2]. Then, this conventional model cannot represent the heavy-tailed clutter statistics which are distinctive of sev- Jul 1, 2008 · To evaluate perception of targets on cluttered surfaces, big brown bats were trained in a two-alternative forced-choice task to locate a target, varying in height, that was embedded partway in holes (clutter) cut in a foam surface. It is always a challenging problem for marine surface surveillance radar to detect sea-surface floating small targets. However, the partici-pation of the data with the target under test in design de-grades their generalisability [7–9]. Jul 1, 1999 · The clutter observed from a forest for robust detection of targets that are buried in a forest environment and obscured by foliage is examined and shows that, at sufficiently low probability of false alarm rates, the receiver based on the alpha-stable distribution outperformed the K- and Gaussian-based receivers. Typically, clutter amplitude fluctuations are modelled using the Rayleigh distribution. 4. Our design objective is to maximize the output signal-to-clutter-plus-noise ratio (SCNR) of multiple Feb 29, 2024 · This phenomenon leads to the target's echo being obscured by intense sea clutter, significantly constraining the detection performance, as noted in Refs. Since no uniformly most powerful (UMP) detector exists for the problem at hand, we devise and assess two classes of suboptimum receivers. We recast detection of sea-surface floating small targets as a one-class anomaly detection problem in the 3D feature space. This is because the targets are almost Measurements of sea clutter using high-resolution radar show that clutter cross section is not Rayleigh distributed. It was rural North American or rural European landscapes. Figs. Thus, we study the characteristics of sea clutter. In birds of prey such as kestrels, for example, astonishing optical acuity permits visual detection of prey at distances of up to 275 m from a perch [ 1 ]. This paper presents an application of stationary wavelet transforms Jul 12, 2018 · Abstract. Furthermore, the detection of targets is usually a A recent work calculated the probabilities of detection and false alarm for the mean and median detectors for the log-normal and contaminated-normal descriptions of sea clutter. In this paper, we study computational complexity of multi-target track detection in high GMTI clutter by DL algorithm. Apr 15, 2021 · In the presence of Weibull clutter, the development of sliding window detection processes, based on scale and power invariant distributions, has been extensively examined. other flies) and an often cluttered, moving background [1], [2]. g. FUTURE WORK While much work has been accomplished, there remain several outstanding problems: 4 * It is known that the challenge for detection of small targets on the sea surface is the low signal-to-clutter ratio (SCR). This detector is coherent and monocell, i. Sea clutter is the backscattered returns from a patch of the sea surface illuminated by a radar pulse. Two detection schemes for the detection of a spatially distributed, Doppler-shifted target in non-Gaussian clutter are developed. The waveform-filter design is formulated as a non-convex fractional programming problem. The following part in Section 4 will use target detection in the presence of non-Gaussian sea clutter to demonstrate the performance of our proposed method. We then develop a statistical polarime tric detection test, robust to heavy inhomogeneous clutter. it works with the complex envelope of the echoes from the same range cell. changing the parameter λ). Feb 27, 2024 · In this paper, we address the problem of polarimetric detection for targets with energy spillover in non-Gaussian clutter. However, the theoretical performance analysis of square-law detectors in the presence of Weibull clutter leads to cumbersome mathematical formulations. The Bhattachayya distances [23] of the empirical probability density functions (pdf) of each Hurst exponent at clutter-only cells and the cell with target for each dataset are plotted in Fig. The clutter parameters are estimated online to select the suitable factor to be used in the binary hypothesis test. Firstly, find out the different characteristics between the target and sea clutter. However, due to the presence of outliers, existing CFAR (constant false alarm rate) algorithms show Apr 6, 2022 · Abstract and Figures. We propose a new detector that adopts the visibility graph (VG) algorithm and the graph convolution neural network (GCN). Conventional detectors using Detection of Targets in Noise and Clutter 1. In such cases, the ability to adaptively online estimate clutter rate and detection probability is This article addresses the problem of detecting radar targets submerged in a strong sea-clutter background. Secondly, take advantage of the classifier to realize the feature classification. In this work, we propose a RepVGGA0-CWT detector, where RepVGG is a residual network that gains a high detection accuracy. 1 Results of moving target detection. In this paper, we provide a solution to this problem by devising detection architectures capable of classifying the range bins according to their clutter properties and detecting possible multiple targets whose positions and number Owing to the ability of the MNDAS to suppress sea clutter, the high-velocity trifeature-based detector can effectively find the second class of small targets with low SCRs. 25 M N, the probability of detection is a function of SNR with different multiple targets, i. When the clutter is extremely strong, it is almost impossible to detect the targets with only one range-Doppler-matrix (RDM). An improved clutter-map detector combining a near optimal detector under K-distributed clutter and Nitzberg clutter-map technology is proposed. Jul 30, 2008 · Introduction. However, it becomes a challenging problem under heterogeneous clutter environment. The solution of this problem can be divided into two aspects. Such detectors obtain good detection on the targets under test. The clutter is modeled in terms of K-distribution, which can be widely used to describe non-Gaussian clutter received from high-resolution radars and radars working at small grazing angles. 1 Numerical Jul 1, 2013 · 4. In this study, a novel type of detection method based on matrix information geometry (MIG) is developed. It is shown that the median is robust Multi-frame detection has been widely researched in the scenario where the target signal-to-noise is low. , desert, mountainous, be more severe than those in rural This paper deals with the problem of traditional constant false-alarm rate (CFAR) detection methods are difficult to adapt the temporal and spatial varying K-distributed clutter. The presence of clutter in a range/Doppler cell complicates the detection of a target return signal in that cell. ground targets have a radial velocity of zero). , the intercept at the crucial scale and the Hurst exponent of optimal scales provide valuable information for targets detection. Both the log-normal and contaminated-normal distributions are proposed and yield a fairly good description of some experimental data. First, a filtering scheme for correlation coefficients is established via subband In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. We devise the Block Coordinate Descent (BCD) based algorithm to tackle this problem, where the waveform clutter and maritime targets, the detection performance of methods based on mathematical derivation is not satisfactory. This paper considers the detection of fluctuating targets in heavy-tailed clutter through the use of dynamic programming based on track-before-detect (DP–TBD) in radar systems. Two levels of detection are introduced in this algorithm. Figure 3 shows effect of increasing number of frames on detection probability. This letter deals with waveform design of DFRC to improve target detectability embedded in clutter environment while guaranteeing the service quality of communication users. Dec 5, 2021 · A 4D TBD approach is developed here for closely weak extended target tracking and overcoming heterogeneous clutter background and various clutter regions. To this end, a target-rich scenario where the clutter properties vary over the range profile is considered. However, real clutter often deviates from complex Gaussian model. When the clutter-to-noise ratio (CNR) is high enough, it is assumed that the noise is negligible. To solve this problem, this paper Mar 20, 2019 · If the signal strength obtained from sonar is higher than the predefined detection threshold, it is considered as a candidate for target tracking. For the first detector, called the non-scatterer density dependent generalized likelihood ratio test (NSDD-GLRT), the detector takes the form of a sum of logarithms of Aug 1, 2014 · As in adaptive detection , detection of floating small targets in sea clutter can be described as the following binary hypothesis testing: (3) where r ( n ) is the amplitude time series received at the cell under test (CUT), c ( n ), c p ( n ) is the complex sea clutter time series, s ( n ) is the returns of a floating target, x p ( n ) are the Jan 8, 2018 · The detection of vessel targets could be effectively resolved in a high-frequency surface wave radar (HFSWR). The former contains two detectors, designed according to the Wald and the generalized likelihood ratio tests, which resort May 1, 2019 · In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background. However, the radar backscatter may contain sea-spikes, which can last for seconds and resemble targets. 6 0. The clutter is modeled in terms of K-distribution, which can be widely used to describe non-Gaussian clutter received from high-resolution radars and radars Target detection for MIMO systems has been addressed with white and colored Gaussian noise in [8] and [12], respectively. We prove that the detector’s false Coherent Multilook Radar Detection for Targets in KK-Distributed Clutter. 0 0. Coherent radars employing Doppler processing can distinguish target from clutter when the target radial speed is sufficiently high . This correspondence extends the previous work by first calculating the performance of the trimmed-mean detector and then calculating the detection performance of all three detectors when the target exhibits Rayleigh May 1, 2018 · Detection of moving targets in sea clutter using complementary waveforms @article{Zhu2018DetectionOM, title={Detection of moving targets in sea clutter using complementary waveforms}, author={Jiahua Zhu and Xuezhi Wang and Xiaotao Huang and Sofia Suvorova and William Moran}, journal={Signal Process. As a result, a tri-feature-based detector is developed. However, significant parameters mismatch in the clutter and detection model will result in biased estimates. The latter are used to select the suitable threshold Now consider the development of an adaptive waveform design algorithm for improved target detection under sea clutter, as shown in Figure 2. Apr 1, 2008 · A detection of static or slowly moving targets in the inhomogeneous clutter of polarimetric radar is researched and a new detector without exploiting the training set is developed, which has a . The measured dataset verifies that the proposed detector can achieve the detection of sea surface targets with controllable false alarm rate (FAR), and the performance is Jan 1, 2024 · In this paper, we address the problem of polarimetric detection for targets with energy spillover in non-Gaussian clutter. May 1, 2018 · Numerical simulations are presented in this section to show that when the WSM procedure is applied for radar detection, it has a robust performance in terms of target detection in the presence of sea clutter. In recent years, certain scholars have suggested that the identification of small, low-altitude targets can be achieved through the inherent characteristics of sea clutter. Aug 11, 2022 · The features are used to train the bidirectional long short-term memory (Bi-LSTM) networks model so that it has the ability to distinguish the target and the sea clutter. Accurate modelling of sea clutter and robust detection of low observable targets within sea clutter. A fast convexhull learning algorithm is proposed to learn the decision region of the clutter pattern from feature vectors of clutter-only observations. The 4D measurements in this work are the points containing three positional information in spatial space and corresponding timestamp. The notations “-TH” and “-MC” represent the theoretical and MC results, respectively. In this paper, we investigate the problem of radar target detection in strong clutter. We construct the clutter subspace directly by the observed data vectors of neighboring range cells of the cell under test (CUT), and then suppress the sea clutter of the CUT by projecting the observed signal of Feb 7, 2006 · Visual detection of targets that move within visual clutter is a common task in animals searching for prey or conspecifics. In this paper, we address the problem of improving the performance of polarimetric detectors for targets in heavy inhomogeneous clutter. This detector extracts the graph feature of radar echo networks for target detection after converting the Jul 18, 2023 · The clutter becomes non-stationary for a space-based surveillance radar (SBSR), which is harmful for the moving targets detection due to the earth’s rotation. 8 1 12 3 Target # 6 frames, 2 sec revisit 12 frames, 1 sec revisit Probability of Feb 22, 2017 · The paper deals with detection of distributed targets embedded in compound Gaussian clutter, with Inverse Gamma texture. We develop an adaptive coherent detector on the basis of the two-step generalized 4 Application of the targets detection method One typical instance of target detection in non-stationary clutter is the problem of radar detection in non-Gaussian sea clutter. This report discusses the properties of non- Rayleigh sea clutter and the detection of targets in non-Rayleigh sea clutter. The joint adaptive detection of multiple point-like targets in scenarios characterized by different clutter types is still an open problem in the radar community. Experimental results show that the proposed method is effective, and for a given false alarm probability, the DTRN exhibits better detection performance than A detector based on convolutional neural networks is proposed for radar detection of floating targets in highly complex and nonstationary cluttered environments. Swerling type 1 is Oct 24, 2018 · Sea clutter submerges the small target echo, which is disadvantageous for radar target detection. This filter is an optimal recursive Bayesian detector / estimator to determine the state of a single target and its presence in noise. 6 (a) shows that the WSM procedure has similar target detection probability to the other two approaches when SNR is low. Two adaptive detectors are designed according to the Rao test, as Abstract : Measurements of sea clutter using high-resolution radar indicate that the clutter-cross-section returns follow a log-normal probability density function more closely than the usually assumed Rayleigh law. Feb 7, 2006 · Visual detection of targets that move within visual clutter is a common task in animals searching for prey or conspecifics. Threshold values and detection curves are given for the mean and median detectors for both distributions. Effects of hypothesized that the resolution criteria for urban clutter would varying types of clutter configurations, i. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. To improve the detection performance of maritime radar targets, we investigate the design of adaptive detectors in correlated non-Gaussian sea clutter by using suboptimal tests Constructing a high-performance target detector under the background of sea clutter is always necessary and important. The non-Gaussian clutter is modeled as a spherically invariant random vector (SIRV) distribution. Oct 26, 2022 · Non-Gaussian sea clutter causes conventional detectors designed in Gaussian clutter to suffer detection performance degradation, and some nuisance parameters cause the uniformly most powerful test to be unavailable. In order to quantify the effect of clutter on the probability of detection, we must first specify sets of models suitable for representing the clutter and target. Considering that the radar echoes will exhibit stronger statistical correlations when the target is present, this work proposes a detector using A method for detecting small targets on the sea surface based on sequence features is proposed from the perspectives of feature extraction and feature classification on a basis of real data, and the performance is better than several existing detectors. Attentions have been focused on the moving target detection in a high-resolution sea clutter. First, we introduce a new polarimetric radar model that includes the realistic dependence of the clutter reflections on the transmitted signal. ese methods cannot meet the requirements of a low false alarm rate in Abstract : Sea clutter has a non-Rayleigh probability density when examined with a radar that has high resolution. In the complex and changeable marine environment, it is difficult to achieve high-performance detection based on statistical theory for small The experimental results demonstrate that, when target's Doppler frequency is beyond strong clutter region, the ANMF detector and block-ANMF detector perform better in the residual clutter than in the clutter. The proposed detectors are based on Lookup Tables containing threshold factors that maintain a Constant Probability of False Alarm (Pfa). In addition, the fractal dimension of sea clutter varies with sea state and We deal with the problem of polarimetric detection of compound-Gaussian clutter with unknown distributed targets in covariance matrix. Some studies have circumvented this problem by using approximations or mathematical artifacts to simplify Besides clutter power and non-Gaussianity, the texture coherent length and speckle decorrelation time of sea clutter are two key factors to affect target detection scheme and performance. This letter proposed a novel phase-feature detector of small targets in sea clutter. The layer May 30, 2023 · This letter presents an approach for detecting dim moving point targets in cloud clutter scenes based on temporal profile (TP) learning. This involves the selection of two functions labeled as scale-invariant and secondary CRP (clutter range profile) functions. The non-stationarity will degrade the accuracy of clutter covariance matrix (CCM) estimation and increase the clutter degree of freedom (DOF), thereby degrading the performance of clutter suppression. This paper presents techniques for analyzing Aug 25, 2022 · Due to the large amount of sea clutter accompanying the echo signals of shipborne HFSWR and the spread of sea clutter due to platform motion, the detection of targets in clutter regions is extremely difficult. Similarly, results have also been obtained for the case of a fluctuating target immersed in log- Jan 22, 2010 · We exploit the joint fractal properties of sea clutter extracted from detrended fluctuation analysis (DFA) for targets detection. }, year={2018}, volume={146}, pages={15-21 Aug 19, 2019 · In the application of detecting multiple human targets, owing to faint amplitude of human chest movement and high attenuation of electromagnetic wave, the motionless living human targets cannot be discriminated accurately, especially in a complex rescue condition with dynamic clutter interference. The spatially varying clutter model is presented and is used to explain the non- Rayleigh nature of sea clutter. Jul 22, 2014 · This paper presents a region-adaptive clutter rejection method for small target detection in sea-based infrared search and track. The simplest and most common model for clutter is based on the gamma Jan 1, 2024 · In this paper, we address the problem of polarimetric detection for targets with energy spillover in non-Gaussian clutter. hp ir fd qt ym fg qw es nc xo