Distributed GOSCA-CFAR Detection Based on Automatic Censoring Technique

Survey on Fast CFAR Detection Algorithms for SAR Image Targets

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2012.01885 ◽

2012 ◽

Vol 38 (12) ◽

pp. 1885 ◽

Cited By ~ 4

Author(s):

Ming-Bo ZHAO ◽

Jun HE ◽

Qiang FU

Keyword(s):

Sar Image ◽

Cfar Detection ◽

Detection Algorithms

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CFAR Detection Based on the Nonlocal Low-Rank and Sparsity-Driven Laplacian Regularization for HFSWR

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2021.3090930 ◽

2021 ◽

pp. 1-1

Author(s):

Xinyang Wang ◽

Yang Li ◽

Ning Zhang ◽

Qingxiang Zhang

Keyword(s):

Low Rank ◽

Cfar Detection ◽

Laplacian Regularization

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Detection and Localization for Multiple Stationary Human Targets Based on Cross-Correlation of Dual-Station SFCW Radars

Remote Sensing ◽

10.3390/rs11121428 ◽

2019 ◽

Vol 11 (12) ◽

pp. 1428 ◽

Cited By ~ 2

Author(s):

Yong Jia ◽

Yong Guo ◽

Chao Yan ◽

Haoxuan Sheng ◽

Guolong Cui ◽

...

Keyword(s):

Cross Correlation ◽

Continuous Wave ◽

Coefficient Matrix ◽

Constant False Alarm Rate ◽

Localization Algorithm ◽

Cfar Detection ◽

Stepped Frequency ◽

The Cross ◽

The One ◽

Detection And Localization

This paper demonstrates the feasibility of detection and localization of multiple stationary human targets based on cross-correlation of the dual-station stepped-frequency continuous-wave (SFCW) radars. Firstly, a cross-correlation operation is performed on the preprocessed pulse signals of two SFCW radars at different locations to obtain the correlation coefficient matrix. Then, the constant false alarm rate (CFAR) detection is applied to extract the ranges between each target and the two radars, respectively, from the correlation matrix. Finally, the locations of human targets is calculated with the triangulation localization algorithm. This cross-correlation operation mainly brings about two advantages. On the one hand, the cross-correlation explores the correlation feature of target respiratory signals, which can effectively detect all targets with different signal intensities, avoiding the missed detection of weak targets. On the other hand, the pairing of two ranges between each target and two radars is implemented simultaneously with the cross-correlation. Experimental results verify the effectiveness of this algorithm.

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