雷达目标探测的平方根和四次方根检波律研究

    On the Square Root and Quartic Root Law for Radar Target Detection

    • 摘要: 为了解决在雷达目标探测中干扰目标带来的遮蔽问题,文中提出了平方根检波律和四次方根检波律搭配单元平均恒虚警率检测器使用,雷达检测性能相对不易受到干扰目标的负面影响。与经典的线性检波律和平方检波律相比较,平方根检波律和四次方根检波律不会造成附加的检测损失;与通常用来抑制干扰目标的遮蔽效应的对数检波律和排序统计恒虚警率检测相比较,平方根检波律和四次方根检波律具有更高的实现效率。通过真实雷达数据进行验证,当孤立的干扰目标的回波信号比背景噪声高出40 dB并且用来估计背景噪声功率的样本的个数等于32时,四次方根检波律对干扰目标的抑制能力比线性检波律改进10 dB以上。

       

      Abstract: In order to overcome the shadowing problems due to interfering targets in radar target detection, a proposal of combining the use of the square root (SQRT) law and quartic root (QURT) law with cell-averaging constant false-alarm rate (CA-CFAR) detector is suggested in this paper, making the performance of radar detection less prone to the adverse impact of the interfering targets. Compared with conventional linear law and square law, SQRT law and QURT law fail to cause additional detection loss; moreover, SQRT law and QURT law exhibit higher implementation efficiency while comparing with the logarithmic law and ordered-statistic CFAR (OS-CFAR) detector used for inhibiting the shadow effect due to interfering targets. The experiment based on the true radar data shows that the inhibiting capability of the QURT law for interfering targets is improved by more than 10 dB than that of the linear law, when the echo signal of isolated interfering target is 40 dB higher than background noise, and the number of samples used to estimate the power of background noise equals to 32.

       

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