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很多情况下雷达目标掩没在杂波背景内,需要进行杂波处理。如果预先知道杂波参数但目标速度未知,则可以设计出一组多卜勒滤波器并使每个滤波器在某种意义上是最佳的。然而,一般情况下,杂波参数是随距离和方位变化的,它是未知的或者仅仅部分已知。在这种情况下有必要采取自适应处理。本文介绍的自适应 MTI 采用 Gram-Schmidt 自适应开环处理器。可以看出,在有杂波的环境中和脉冲数固定不变时,多卜勒滤波前采用自适应 MTI 可以使性能得到改善。还可以看出。在多卜勒滤波前采用自适应 MTI 比采用固定二项式加权 MTI能得到更好的性能。
In many cases radar targets are masked in clutter and clutter is required. If the clutter parameters are known in advance but the target speed is unknown, then a set of Doppler filters can be designed and each filter is in a sense optimal. However, in general, clutter parameters vary with distance and orientation, and are unknown or only partially known. In this case it is necessary to take an adaptive approach. This article describes the adaptive MTI Gram-Schmidt adaptive open-loop processor. It can be seen that using adaptive MTI before Doppler filtering improves performance in cluttered environments and with a constant pulse number. Can also be seen. The adaptive MTI before Doppler filtering is better than the fixed binomial weighted MTI.