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CFAR Target Detection Based on Gumbel Distribution for HF Radar

机译:基于Gumbel分布的HF雷达CFAR目标检测

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摘要

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 target detection problem in a complex HF radar signal environment. It uses conventional constant false-alarm-rate (CFAR) detection procedure but based in this case on an untypical assumption of Gumbel distributed power spectrum values along range cells for thresholding. The CFAR detection test rule was combined with a local peak determination procedure. The proposed detection scheme was tested using real HF radar data and gave very promising results.
机译:高频(HF)雷达能够检测和跟踪极远距离的目标。但是,包括外部噪声,各种杂波和干扰在内的信号环境将严重限制检测和系统功能。本文考虑了一种解决复杂HF雷达信号环境中目标检测问题的新方法。它使用常规的恒定误报率(CFAR)检测程序,但在这种情况下基于沿距离单元进行阈值化的Gumbel分布功率谱值的非典型假设。 CFAR检测测试规则与本地峰确定程序结合在一起。所提出的检测方案已使用实际的高频雷达数据进行了测试,并给出了非常有希望的结果。

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