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The problem of range-migrating target detection in a compound-Gaussian clutter is studied here. We assume a target to have a range-walk of a few range cells during the coherent processing interval, when observed by wideband radar with high range resolution. Two CFAR detectors are proposed assuming different correlation properties of clutter over range. The detectors' performance is studied via numerical...
In this paper the exploitation of different linear polarimetric channels is considered as a way to mitigate the effect of interfering sources and to improve the target detection capability in a FM radio-based passive radar. An effective approach is introduced to jointly exploit the diversity of information conveyed by different polarizations at the surveillance channel. The results are shown against...
In this paper, we consider the problem of detecting target in target-induced clutter (TIC) plus Gaussian noise background. Processing this detection problem, the traditional generalized likelihood ratio detector (GLRD) deals with the clutter as a part of the noise. An adaptive subspace detector for TIC (TIC-ASD) background is proposed. Different from the traditional GLRD, the TIC-ASD deals with the...
This paper proposes a solution to the problem of searching for a moving airborne target in unknown coloured Gaussian interference. Traditional space-time adaptive processing (STAP) approaches to this problem rely on the existence of a training data set that helps build an estimate to the covariance matrix of the background noise and interference. These algorithms are thus labelled as two data set...
Heavy sea clutter seriously depresses the detection of distributed target. In this paper, an adaptive PM waveform design method with evaluation factor is proposed to suppress clutter energy and improve the detection performance. Simulations illustrate the effectiveness of this method.
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trials over the southern part of Sweden. The data sets consisted of clutter returns from both urban and rural areas. Multivariate normality tests indicate a significant difference between these two environments, and particularly...
The Ordered Data Variability (ODV) technique is introduced into hybrid clutter map/L-CFAR technique, which is used to process the echoes on the clutter map spatially. The new method is called as Clutter Map/ODV (CM/ODV) technique. An analytic expression of detection probability in homogeneous environment is presented, and detection performance in three different situations in nonhomogeneous environment...
The detection scheme for robust detection and target location in the presence of interference is presented. The problem of detecting the slow-moving target at noisy background is addressed in this paper. A novel kind of Odd-Symmetry Template Correlation (OSTC) process is developed as the first-step of the detector. The OSTC method has a better performance due to interference suppression than traditional...
Target detection is one of important roles of radar systems. In this paper, we present a detection method using total correlation based on information theory for noise radar systems which enables a system detects multiple targets at low signal to noise ratio regimes. The proposed method utilizes the largest eigenvalue of the sample covariance matrix to extract information from replica of the transmitted...
This paper present a new distributed constant false alarm rate (CFAR) detector based on automatic censoring technique. In the scheme, every local decision of individual detector, resulting from the comparison between its sample level and the estimation of the background based on GOSCA-CFAR (generalized order statistic, cell averaging-CFAR) algorithm, takes the value zero or one. Then, the fusion center...
Many current radar-based human detection systems employ some type of Doppler or Fourier-based processing, followed by spectrogram and gait analysis to classify detected targets. However, Fourier-based techniques inherently assume a linear variation in target phase over the aperture, whereas human targets have a highly nonlinear phase history. This mismatch leads to significant loss in SNR and integration...
In this work we prove that if the texture of compound-Gaussian clutter is modeled by an Inverse-Gamma distribution, the optimum detector is the optimum Gaussian matched filter detector compared to a data-dependent threshold that varies linearly with a quadratic statistic of the data. The compound-Gaussian model presented here varies parametrically from the Gaussian clutter model to a clutter model...
Laser radar has enjoyed significant advances over the past decade. Novel sensor topologies, compact laser illuminators, and advanced signal processing have enabled the construction of low power, portable 2-D and 3-D laser vision systems. The applications of such systems range from surveillance, targeting, weapons guidance, and remote scene measurement, to target identification and atmospheric characterization...
A new target detection architecture, designated as cognitive detector, is proposed. This method aims at solving the problems arising from simultaneous detecting and tracking targets in various non-stationary and time-variant clutter environment. Image character of detection background and the scene analysis result, which is the information that hasn??t been exploited in any existing integrated detection...
In this paper, a new cell-averaging constant false alarm rate (CA-CFAR) detector based on minimum selected cell in sub-reference windows (SRW) is proposed. It takes the minimum cells in sub-reference sliding windows for rejecting some strong interferences or alleviating the clutter-edge effect surrounding the test cell, and then it uses the general cell-averaging technique to detect the target. Under...
A novel method to detect small target embedded in sea clutter is presented for high frequency (HF) radar. The method is rooted in different characters between instantaneous radial velocity of sea current and moving target, and relies on the neural network for its implementation. By estimating the instantaneous velocity of sea current and target, we find that a spatial nonlinear model rather than deterministic...
We present a constant-false alarm rate detection scheme for use in Through-the-Wall Radar Imaging. We consider multiple-viewing scenarios with an arbitrary number of vantage points. Classical detection theory is used to fuse the obtained radar images to one reference image. By doing so, clutter and noise artifacts which are strongly represented in the individual images are reduced and targets of interest...
In this paper we introduce a new switched order statistics CFAR test (SW-OS) for detecting a radar target in the presence of nonhomogeneous clutter and/or multiple interfering targets situation. Whereas a switching CFAR test (S-CFAR) was recently proposed in the literature for addressing a similar background scenario, unlike the S-CFAR test, the test proposed here does not utilize the test cell statistic...
The coherent detection of targets in presence of clutter and noise is considered in this study. Several clutter models are proposed in the literature, although the commonly used for sea and land clutter returns is the Weibull one. Our case of study involves that the target is known a priori, the clutter is Weibull-distributed and a white Gaussian noise is present. In this case, obtaining analytical...
This paper addresses adaptive high resolution radar detection of range-distributed target embedded in compound-Gaussian clutter modeled as a spherically invariant random process (SIRP). Echoes backscattered from range-distributed target are modeled as a subspace random signal by using multiple dominant scattering models. At the design stage we resort to the so-called two-step GLRT-based design procedure...
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