A new memory based ordered statistic-CFAR processing for coherent detection

Vincent Corretja, S. Kemkemian, J. Petitjean
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引用次数: 1

Abstract

Adaptive radar detection in clutter and noise environment is a key issue for maritime coherent detection. This paper proposes a new version of the so-called ordered statistic constant false alarm rate technique which exploits past and current information of the environment to optimize the detection processing. The effectiveness of the memory-based detection concept is proved on synthetic and real data recorded by an X-band experimental radar using high range and Doppler resolutions waveform at low grazing angle. Furthermore, a comparative study on coherent detection is performed between classical detectors and the proposed approach in terms of probability of false alarm and detection.
一种新的基于内存的相干检测有序统计- cfar处理方法
杂波噪声环境下的自适应雷达检测是海洋相干探测的关键问题。本文提出了一种新版本的有序统计常数虚警率技术,该技术利用环境的过去和当前信息来优化检测处理。利用高距离、高多普勒分辨率波形、低掠掠角的x波段实验雷达记录的合成数据和真实数据,验证了基于记忆的探测概念的有效性。在此基础上,从虚警概率和检测概率两方面对传统检测方法进行了相干检测的比较研究。
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