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Performance of distributed CFAR test under various clutteramplitudes

机译：各种杂波幅度下的分布式CFAR测试性能

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摘要

We evaluate the performances of several distributed constant false-alarm rate (CFAR) tests operating in different background clutter conditions. The analysis considers the detection of Rayleigh target in various clutters with the possibility of differing clutter power levels in the test cells of distributed radars. Numerical results studied for a two-radar system show how the false-alarm rate of the maximum order statistic (MOS) test changes with differences in the clutter power levels of the test cells. The analysis for the detection of Rayleigh target in Rayleigh clutter indicates that, with the power levels of differing test cells, the OR fusion rule can be quite competitive with the new normalized test statistic (NTS). However, for the detection of Rayleigh target in Weibull or K-distributed clutter, the results show that NTS outperforms both the OR and the AND rules under the condition of large signal-to-clutter power ratio and moderate shape parameter values
机译：我们评估了在不同背景杂波条件下运行的几种分布式恒定误报率（CFAR）测试的性能。分析考虑了在各种杂波中检测瑞利目标，并可能在分布式雷达的测试单元中产生不同的杂波功率电平。针对两雷达系统的数值结果表明，最大阶统计量（MOS）测试的误报率如何随测试单元杂波功率水平的差异而变化。对瑞利杂波中瑞利目标检测的分析表明，由于不同测试单元的功率水平不同，或融合规则与新的标准化测试统计量（NTS）可能具有相当的竞争力。然而，对于Weibull或K分布杂波中的瑞利目标的检测，结果表明，在信噪比大且形状参数值适中的情况下，NTS的性能优于或规则

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