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GPR is about to be used in the landmine clearance operations and the performance has to be evaluated in such safety critical applications. In order to study the influence of heterogeneity on GPR performance, three types of soil were investigated. GPR clutter was modeled from the estimated heterogeneity to see the difficulty to GPR. A dual sensor system that combines metal detector and GPR was tested...
This paper presents a novel strategy for dam monitoring by repeat-pass SAR interferometry. The proposed approach couples sub-band / sub-aperture decomposition prior to the GLRT-LQ detector. This method is tested with spaceborne InSAR images provided by the TerraSAR-X satellite.
We study the constant false alarm rate matched subspace detector (CFAR MSD) of a signal observed under additive noise following a complex elliptically symmetric (CES) distribution which include the class of compound-Gaussian (CG) distributions as special cases. We prove that the detector is distribution-free under the null (signal free) hypothesis and derive simple expressions for the probability...
This work addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous clutter. We first derive the generalized likelihood ratio test (GLRT) based on the two-step design procedure. Then, considering with the Bayesian framework and the prior knowledge about the clutter, we adopt the Maximum A Posteriori (MAP) estimator of the clutter covariance matrix and...
This paper addresses the target detecting problem of the shared-spectrum multistatic radar. All of the transmitters emit the same waveforms in the same spectrum in this radar system. By widely separating the platforms of the shared-spectrum radars and adopting the temporal diversity of transmitter-receiver pairs, the spatial diversity is exploited to improve the detection performance. The signal model...
Our previous study addresses moving target detection (MTD) using a distributed multiple-input multiple-output (MIMO) radar in clutter with non-homogeneous power. The developed detector, referred to as the MIMO-GLRT detector, assumes perfect knowledge of the clutter subspace and uses the assumed clutter subspace to construct a projection matrix which is required to compute the test statistic. In this...
A new target detection architecture, designated as Cognitive Detector, is proposed which aims at solving the problems arising from detecting targets in various non-stationary, time-variant and multi-source clutter environment. Being aware of the change of the detection environment can help select an optimized detection strategy. Thus image character of detection background and the scene analysis result,...
In multichannel pulse Doppler surveillance radars, parallel signal processing is used in several time — spatial channels, i.e. range-azimuth-elevation. Time-spatially differenced data give radar output picture about targets existence, position and moving parameters. A data fusion center synthesizes differenced channels data to provide continuous reliable tracking and displaying. Targets move over...
The matched filter is known to be the optimal detector for a single target with known impulse response in white noise. However, many radar systems operate in multi-target environments, for which the matched filter is suboptimal due to modeling mismatch of the background signal. In this paper, we study the hypothesis testing problem of detecting a target at a given range cell while modeling all targets...
In this paper, we examine the use of image segmentation approaches for target detection in TWRI. The between-class variance thresholding, entropy-based segmentation, and K-means clustering are applied to segment target and clutter regions. Real 2D polarimetric images are used to demonstrate that simple histogram-based segmentation methods produce either comparable or improved performance over the...
Traditional detection approaches for the dim target are analyzed under the background of homogeneous clutter. However, the realistic clutter scenarios commonly appear inhomogeneous. In this paper, an adaptive multiple-scan procedure is proposed to detect the weak target in the heterogeneous compound-Gaussian clutter. Numerical simulation results are provided to illustrate the efficiency of the proposed...
This paper presents a new adaptive radar signal processing technique for dismount detection using Synthetic Aperture Radar (SAR). The new approach uses the complex nature of the Doppler response scattering from the dismounts rotary motion to modify the conventional Space-Time Adaptive Processing (STAP). This is used for dismount detection wherein resolution is dictated by the sensor system platform...
Radar detection procedures involve the comparison of the received signal amplitude to a threshold. In order to obtain a constant false-alarm rate (CFAR), an adaptive threshold must be applied reflecting the local clutter situation. This paper presents an intelligent CFAR technique based on comparing the performance of five existing CFAR processors at different target and clutter situations. The proposed...
In the building environment of through-wall-radar imaging, multi-path clutter generates ghost images and defocuses target images, and the ambiguities of wall parameters lead to the defocusing of target images. These two problems reduce the signal-to-clutter ratio of image, which makes it difficult to robustly implement target detection in image domain. In this paper, multi-channel through-wall-radar...
We present a variant of the classic problem of anomaly detection in hyperspectral imagery. In this variant, the anomalous signatures are assumed to be additive and to exhibit spectra that are sparse - that is, only a few of the many hyperspectral channels are significantly nonzero.
Due to new generation digital processors, the problem of large processing time required by complex detectors can be easily overcome. To this effect, we propose to extend the use of a single pulse log-t Constant False Alarm Rate (CFAR) detector in Weibull background to noncoherent multiple pulse processing. The echoed pulses are treated within the same receiver in three different ways, namely; the...
We present the complex Double Gaussian distribution that describes the product of two independent, non-zero mean, complex Gaussian random variables, a doubly-infinite summation of terms. This distribution is useful in a wide array of problems. We discuss its application to blind TR detection systems by deriving the Neyman-Pearson optimal detector when the channel is modeled as the product of two independent...
In this paper, we propose a Gausssian-Rayleigh mixture modeling approach to segment indoor radar images in urban sensing applications. The performance of the proposed method is evaluated on real 2D polarimetric data. Experimental results show that the proposed method enhances image quality by distinguishing between target and clutter regions. The proposed method is also compared to an existing Neyman-Pearson...
This paper deals with the problem of covariance matrix estimation for radar signal processing applications. We propose and analyze a class of estimators which do not require any knowledge about the probability distribution of the sample support and exploit the characteristics of the positive definite matrix space. Any estimator of the class is associated with a suitable distance in the considered...
Ultra Wide Band Short Range Radar (UWB-SRR) has attracted considerable attention in automobile applications. Detection performance of UWB-SRR depends on the echo signal from the target, which often contains unwanted echoes called as clutter. Since, the road clutter resembles to weibull clutter. The objective of this paper is to optimize the design parameters of proposed detector such as number of...
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