In this paper, we propose a new solution for the detection problem of coherent target in heterogeneous environments. Specifically, first assume that clutter returns from different range bins share same covariance structure but power levels. This model meets experimental evidence related to non-Gaussian and non-homogeneous scenarios. Then, unlike existing solutions are based upon estimate plug m...

This paper proposes a target-detection scheme based on prior segmentation of the image. Introducing the prior knowledge of image structure provided by the previous segmentation eliminates many false target detections from background structure. The performance of the new scheme is shown to be identical to an ideal one-parameter CFAR for constant background. With real clutter backgrounds the back...

In order to improve the interference immunity of the detector, a new CFAR detector (ACGCACFAR) based on automatic censoring cell averaging (ACCA) and cell averaging (CA) is presented in this paper. It takes the greatest value of ACCA and CA local estimation as the noise power estimation. Under swerling II assumption, the analytic expressions of fa P in homogeneous background are derived. In con...

In this work, we evaluated the e ectiveness of synthetic aperture radar (SAR) target detection algorithms that consist of any number of combinations of three statistics which include two-parameter CFAR, variance, and extended fractal features. The performance of these algorithms were tested at various threshold settings over the public domain MSTAR database. This database contains one foot reso...

High frequency (HF) radars are capable to detect and track targets at extremely long ranges. But the signal environment that includes external noise, different kinds of clutter and interference will significantly limit the detection and system capability. This paper considers a new approach to solve the ship detection problem in a complex HF radar signal environment. It uses detection procedure...

Abstract In this paper, we propose a 2D-Weibull-Constant False Alarm Rate (2D-Weibull-CFAR) detection algorithm to solve the problem that detecting current underwater targets is difficult due influence of reverberation noise. Specifically, referring idea CFAR uses probability distribution reference units detect objects, paper introduces pixel noise into detector. After that, extracted estimated...

Compact high-frequency surface wave radar (HFSWR) plays a critical role in ship surveillance. Due to the wide antenna beam-width and low spatial gain, traditional constant false alarm rate (CFAR) detectors often induce detection probability. To solve this problem, joint algorithm based on time-frequency (TF) analysis CFAR method is proposed paper. After TF ridge extraction, performed test each ...

A new method designated as the mean-to-mean ratio (MMR) test is proposed for the detection of nonhomogeneities in a radar’s Constant False Alarm Rate (CFAR) reference window. No a priori knowledge of the nonhomogeneity topology is assumed. Analysis using the Monte-Carlo method based on Rayleigh clutter and Swerling I target models is presented. Target-like interferences which seriously degrade ...

Recent publications have explored coherent radar detection in a compound Gaussian clutter environment with inverse gamma texture, since the latter clutter model has been validated for X-band high-resolution maritime surveillance radar clutter returns. This paper explores the development of coherent constant false alarm rate (CFAR) detectors for this scenario. In the first instance, a detector i...

In this article, we propose a determinant ratio test (DRT) statistic to measure the similarity of two covariance matrices for unsupervised change detection in polarimetric radar images. The multilook complex matrix is assumed follow scaled Wishart distribution. doing so, provide distribution DRT that exactly Wilks’s lambda second kind distribution, with density expressed terms Meijer G-function...