Future high-resolution short-range automotive radar will have a higher false alarm probability than the conventional low-resolution radar has. In a high-resolution radar, the reception signal becomes sensitive to the difference between intended and unintended objects. However, automotive radars must distinguish targets from background objects that are the same order of size; it leads to an incr...

In this paper, sub-band energy based collaborative target localization in wireless sensor network is presented. Three steps including target detection, target location candidates estimation and target location identification have been performed to realize the task of target localization. In the step of target detection, each sensor node detects the targets by filtered total acoustic energy base...

This paper presents a target detection method in synthetic aperture radar (SAR) images with radiometric multiresolution analysis (RMA). The idea is that target saliency can be efficiently computed by comparing the statistics of targets and those of the local background around them. In order to compute reliable statistics of targets, which usually involve a small number of pixels, RMA is adopted...

A novel approach to moving target detection is proposed for dual-channel SAR system. This approach is on the basis of eigendecomposition of the sample covariance matrix and examines the statistic of the second eigenvalue and the Along-Track Interferometric (ATI) phase for ground moving target indication. Based on this statistic, a new Constant False Alarm Rate (CFAR) detector can be designed to...

Edge detection is a critical component of synthetic aperture radar (SAR) image interpretation. Due to serious speckle noise, the core problems for SAR edge are how keep constant false alarm rate (CFAR) and achieve unbiased localization edges. Aiming at these problems, this article proposes novel detector with unique structure noise-contaminated images, which creatively integrates difference ope...

We propose a constant false alarm rate (CFAR) algorithm for moving target detection in synthetic aperture radar (SAR) images based on the spreading characteristics of interferograms on the magnitude-phase (M-P) plane. This method is based on the observation that, in practice, both moving and stationary targets along with clutter are located at different regions in the M-P plane, and hence reaso...

The acquisition of code phase and frequency shift is a pre-requisite for any Code Division Multiple Access (CDMA) system. One important step in the acquisition process is the choice of a suitable decision variable and of an appropriate threshold, which will determine the probabilities of detection and false alarm. In serial-search strategies and in many hybrid-search strategies proposed in lite...

This paper investigates two methods for GMTI using three-channel SAR-ATI data. Motivated by previous results in the two-channel case, a deterministic method for finding an Eigendecomposition of the SAR-ATI sample covariance matrix is presented. The CFAR detection capability of each of the eight parameters of the Eigendecomposition is evaluated using measured three-channel airborne data and comp...

Synthetic Aperture Radar (SAR) has over the years evolved to be one of the most promising remote sensing modalities for largescale monitoring of the ocean and maritime activity. The use of SAR imagery in a variety of monitoring applications has motivated significant research on the statistical modelling of such images, with recent work focusing on the ability of the data’s heavy-tailed nature t...

In this paper we study some standard problems of SSR (Secondary Surveillance Radar), relating to improving the detection performance of the conventional SSR and Mode S replies in SSR FRUIT environment. We present the algorithm that consists of a conventional two-dimensional CFAR BI processor combined with the estimator of the FRUIT parameters, which is necessary for automatic selecting of the a...