非瑞利杂波中广义符号检测器的渐近性能

Asymptotic Performance of Generalized Sign Test in Non-Rayleigh Clutter

利用韦伯分布和对数正态分布两种非瑞利杂波模型,推导广义符号(GS)检测器相对于最佳线性参量检测器的渐近相对效率(ARE)计算公式。采用Monte Carlo法仿真广义符号(GS)检测器在非瑞利分布杂波背景下相对于最优线性检测器的渐近相对效率。雷达目标信号假定为非起伏,杂波的幅度包络满足韦伯分布和对数正态分布。渐进相对效率(asymptotic relative efficiency,ARE)的仿真结果表明了广义符号检测器的有效性随着杂波分布偏离瑞利分布程度、采样参考单元的增加而增加。

The clutter is assumed to be Weibull distribution or to be characterized by a Log - Normal distribution. According to Monte Carlo simulation, the asymptotic relative efficiencies （ARE） of generalized sign test are compared with optimum linear detectors. The signal is assumed to be nonfluctuating, and the clutter is assumed to be Weibull distribution or to be characterized by a lognormal distribution. The result of the ARE simulation shows that the performance of generalized sign detector increase appreciably as the clutter distribution debiates from Rayleigh distribution and the reference cells increase.