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脉冲多卜勒雷达信号处理的功能是检测所存在的目标和估计它们的径向速度。如果目标被埋没在严重的非平稳杂波和噪声环境中,那么除非采用某些自适应信号处理方法,否则检测损失也许会达到不可容忍的地步。当前关于距离门脉冲多卜勒雷达系统自适应多卜勒滤波用的几种待选算法的研究,证明了Burg提出的最大熵法(MEM)的优越性。本文慨述采用最大熵法的自适应信号处理器的基本要求,并示出推导自适应多卜勒滤波器响应函数的典型最大熵法,这些响应函数是从严重杂波环境下仿真的和实际的雷达回波两者中得到的。应用最大熵法,可在一个波束停留期内完成对严重杂波环境的自适应,从而使信号对杂波加噪声的性能接近最佳。
The function of pulsed Doppler radar signal processing is to detect the existence of targets and to estimate their radial velocity. If the target is buried in a severe non-stationary clutter and noise environment, it may be intolerable to detect the loss unless some adaptive signal processing methods are used. The current research on several candidate algorithms for adaptive Doppler filtering of Doppler radar range-gated radar systems proves the superiority of the maximum entropy method (MEM) proposed by Burg. This paper describes the basic requirements of the adaptive signal processor using maximum entropy method and shows the typical maximum entropy method for deriving adaptive Doppler filter response functions that are derived from simulated and actual severe clutter environments The radar echo is obtained in both. Maximum entropy method can be used to complete the adaptation of severe clutter environment during one beam stop, so that the performance of clutter and noise is close to the best.