CFAR Detection of Moving Range-Spread Target in White Gaussian Noise Using Waveform Contrast

被引：31

作者：

Yang, XiaoLiang ^{[1
]}

Wen, GongJian ^{[1
]}

Ma, CongHui ^{[1
]}

Hui, BingWei ^{[1
]}

Ding, BaiYuan ^{[1
]}

Zhang, YunHua ^{[2
]}

机构：

[1] Natl Univ Def Technol, Natl Key Lab Automat Target Recognit, Changsha 410073, Hunan, Peoples R China

[2] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2016年 / 13卷 / 02期

关键词：

Constant false-alarm rate (CFAR) detection; high-resolution range profile (HRRP); waveform contrast (WC); HIGH-RESOLUTION RADAR; WIDE-BAND RADAR; DISTRIBUTED TARGET; COMPENSATION; ALGORITHM;

D O I：

10.1109/LGRS.2015.2511060

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

In wideband stepped-frequency radar systems, relative motions between radar and target can induce high distortions of high-resolution range profiles (HRRPs), such as range migration, shape deformation, and signal-to-noise-ratio (SNR) loss. These distortions, if ignored, can lead to unacceptable performance deterioration in detection. To solve this problem, a new algorithm for detecting moving range-spread targets (RSTs) is proposed in this letter. The proposed detector utilizes the waveform contrast of the HRRP to perform both motion compensation and constant false-alarm rate target detection, and it is simple and robust even for low-SNR scenarios. Simulated experiments are carried out to verify the effectiveness and advantages of the proposed detector.

引用

页码：282 / 286

页数：5

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