具有距离走动效应的RFD-Rao和RFD-Wald分布式目标检测器

摘要

Two novel adaptive distributed target detectors, the range frequency domain-Rao (RFD-Rao) and range frequency domain-Wald (RFD-Wald) tests are proposed in this work. The application methods for these tests consider a partially homogeneous disturbance environment and a target range walking effect in a coherent processing interval (CPI). The asymptotic performance of the detectors is analyzed, and the constant false alarm rate (CFAR) properties with respect to the clutter covariance matrix and power level are shown. The performances of the proposed adaptive detectors are assessed through Monte-Carlo simulations, and the results are presented to demonstrate the effectiveness of the proposed detection algorithms compared to those of similar existing detectors.%提出两种新型自适应分布式目标检测器:距离频域Rao(RFD-Rao)和距离频域Wald(RFD-Wald)检测器. 该方法考虑相参处理间隔(CPI)内部分均匀干扰环境和目标距离走动效应的影响,分析检测器的渐近性能,并给出不同杂波协方差矩阵和功率水平下的恒虚警率(CFAR)特性分析.将本文所提出的自适应检测器的性能通过蒙特卡罗试验进行了验证,仿真结果证明所提出的检测算法与现有的类似检测器相比的有效性.