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自适应多卜勒滤波器的实际实现要求杂波参数的估值,以便确定自适应权重。取得估值的一种方法是借助于样本矩阵逆转(SMI)算法,它使用取自相邻距离单元的多个数据抽样。对于均匀杂波环境,这种技术给出的特性随着抽样数量逼近无穷渐近地逼近最佳(事先知道的协方差矩阵)。对于非均匀杂波环境,证明不存在这种渐近特性。推导了关于改善因子下降的方程。为了容易进一步的理解,详细研究了窄带杂波的简化的特殊情况。证明在几乎所有情况下损失是小的。
The actual implementation of the adaptive Doppler filter requires the estimation of the clutter parameters in order to determine the adaptive weights. One way to get an estimate is by means of a sample matrix inversion (SMI) algorithm that uses multiple data samples taken from adjacent distance units. For a uniform clutter environment, the characteristics given by this technique approach the best (a priori known covariance matrix) as the number of samples approaches infinity. For non-uniform clutter, it is proved that there is no such asymptotic property. Derived the equation on the improvement factor decline. For ease of understanding, the simplified special case of narrow-band clutter has been studied in detail. Prove that in almost all cases, the loss is small.