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An effect of range-heterogeneous clutter on adaptive Doppler filters

机译:距离异类杂波对自适应多普勒滤波器的影响

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摘要

The practical implementation of adaptive Doppler filters requires estimates of clutter parameters to determine the adaptive weights. A method of deriving the estimate via the sample matrix inversion (SMI) algorithm using multiple data snapshots from adjacent range cells is presented. For homogeneous clutter environments, the results of this technique asymptotically approach the optimum (a priori known covariance matrix) as the number of snapshots approaches infinity; this asymptotic behavior does not occur for heterogeneous clutter environments. An equation for the decrease in improvement factor is derived. To promote understanding, the simplified special case of narrowband clutter is considered in detail. In almost all cases, the loss is small.
机译:自适应多普勒滤波器的实际实现需要估计杂波参数以确定自适应权重。提出了一种使用样本矩阵求逆(SMI)算法从相邻距离单元格中获取多个数据快照来得出估算值的方法。对于均匀的杂波环境,随着快照数量接近无穷大,该技术的结果渐近地接近最优值(先验的协方差矩阵)。对于异构杂波环境,不会出现这种渐近行为。得出改善因子减少的方程式。为了促进理解,详细考虑了窄带杂波的简化特殊情况。在几乎所有情况下,损失很小。

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