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This paper deals with the problem of detection of distributed multi-input multi-output (MIMO) radar on moving platforms. We consider the detection of targets in compound-Gaussian clutter, describing the clutter consisting speckle and texture components. Furthermore, under effects of platform motion and varied scenarios, one major challenge of detector is clutter non-homogeneity. Due to these clutter...
The electromagnetic response of metallic targets is known to vary as a function of frequency. In this paper we demonstrate the ability to measure these frequency-dependent variations for buried metallic targets from stand-off sensor measurements, with a focus on its potential application to humanitarian demining. A planar measurement system is presented which is capable of measuring the trans-impedance...
Cognitive radar is a new paradigm to conceive the next radar generation characterized by unique and amazing features inspired to mental abilities and processes related to knowledge. It goes beyond the usual extraction of information from the measurements and requires the radar to get intelligence. Introduced by Haykin [1] and Guerci [2], it is attracting huge attention within the radar community during...
Ship detection is a key topic in remote sensing. In existing research works, SAR images are part of the data sources which have been most widely studied because they can be obtained day and night, regardless of the impact from meteorological conditions. This paper mainly aims at the existing problems of intelligent detection algorithm for ship targets in SAR image, such as the uncertainty of the automatic...
For the shallow water sonar systems, the data quantity is usually huge and the characteristics of the background distribution are often time-varying and space-varying. While in the conventional target detection, the distribution model is usually assumed constant and its parameters are often estimated based on the limited reference cells surrounding the cell under test. How to fully utilize the data...
In this paper we propose a new extraction scheme for linear arranged targets in polarimetric SAR images based on a contrario theory. In this scheme, to reduce the influence of speckle, firstly a polarimetric whitening filter is applied to combine four images from different channels into a single channel image. Then a Cell-Averaging Constant False Alarm Rate detector with Weibull clutter background...
This letter depicts a ship detection scheme for synthetic aperture radar images, utilizing a segmentation based global iterative censoring algorithm. In the proposed scheme, the fuzzy local information c-means clustering (RFLICM) algorithm is adopted to partition the inhomogeneous SAR image into numerous homogeneous sub-regions, thereby eliminating the performance degradation caused by SAR image inhomogeneity...
A method to solve multi-target classification problems with unknown clutter parameters is proposed in this paper. The unknown parameter is estimated and synthesized at each observation, and probability of each hypothesis is updated. Subsequently, the optimal waveform for the next illumination is designed based on NP criteria, and the final decision is made based on the sequential probability ratio...
In this paper, a method is proposed for ship detection in poalrimetric SAR imagery. Polarimetric SAR image is decomposed into a sparse ship component and a sea clutter component. Then hierarchical priors of the latent variables associated with the components are introduced, and variational Bayesian inference is used to estimate the expectations of the latent variables. The proposed method is an automatic...
Life detection using Ultra wideband (UWB) radar has become more and more important in civilian and military areas. Life detection is a technology of potential use, which can be widely used for post-disaster rescue, patient monitoring, wireless body networks and so on. In this paper, we propose an improved cell averaging constant false alarm (CA-CFAR) detector for life detection using UWB radar. The...
In a clutter-dominant target detection problem, an adaptive detector needs to either whiten or null the clutter prior to signal detection. 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. In this paper, we investigate the detection performance...
In order to fully test detector frameworks, it is important to have representative simulated clutter data readily available. While measured clutter data has often been fit to the Weibull distribution, generation of simulated complex multivariate Weibull data with prescribed covariance structure has been a challenging problem. As the multivariate Weibull distribution is admissible as a spherically...
In this paper, we deal with the problem of detecting the signal of interest in the presence of Gaussian disturbance with symmetric spectrum and assuming that the cell under test (primary data) and the training samples (secondary data) share the same covariance matrix up to an unknown power scaling factor. Moreover, we exploit the symmetric spectral property of the disturbance to transfer the binary...
Space-time adaptive processing (STAP) has become a leading technique in airborne radar signal processing. The optimality of the STAP assumes the stationarity of the covariance matrices. In practice, however, the covariance matrices may be nonstationary. If such nonstationarity is not detected and not well treated, the STAP system's performance decreases substantially. In this paper, we present two...
This paper addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous environment with compound-Gaussian clutter. The clutter covariances are assumed to be random and different from one transmit/receive pair to another with a priori knowledge about the environment. A two-step strategy is employed to design adaptive detector. Firstly, we obtain the generalized...
This paper deals with the problem of non-fluctuating target detection in the presence of a mixture of heavy tailed K-distributed clutter and independent noise. Prior papers have derived generalized likelihood ratio tests (GLRT) for this problem as well as approximations of the GLRT. These results show the required optimum processing and its vastly different efficiency as compared to similar results...
Radar usually employs several signal processing methods successively for detection. Each processing step influences the radar detection performance. Thus, analysis of the radar detection performance considering the complete signal processing flow provides significant reference for radar detector design. In this paper, with the assumption that matched filtering, square-law detection, non-coherent integration,...
Remotely sensed hyperspectral imagery provides, at each pixel, a radiance spectrum with up to hundreds of distinct wavelength channels. This high-dimensional spectral information allows for pixel-level material discrimination, including applications to remotely detecting the presence of particular materials of interest within a scene. Target detection takes a spectrum (or multiple spectra) corresponding...
In this work, we extend the performance analysis of some single-pulse transmission signal processors that produce CFAR under the assumption of Pareto distributed clutter for more realistic approach where non coherent integrated pulses are transmitted. A logarithmic transformation approach, that enables true Gaussian CFAR processes to be translated for target detection in Pareto clutter scenario, is...
In this paper, we study the problem of automatic target detection in Pareto clutter and multiple target situations with the assumption of no prior knowledge of the number of outliers that may be present in the reference window. In doing this, we develop the Trimmed Mean-based Automatic Censoring and Detection Constant False Censoring and Alarm Rates Detector (TM-based-ACD-CFCAR). This detector select...
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