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New results on linear prediction for clutter cancellation

机译:消除杂波的线性预测的新结果

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Some moving-target indicator (MTI) techniques are reviewed and those based on the linear prediction theory are examined. A description is given of the effects of the position of the reference sample in an MTI processor on cancelling clutter in a radar system. The analysis of this generalized linear prediction MTI is based on the evaluation of the receiving operating characteristics (ROCs), assuming that the clutter covariance matrix is known a priori as well as the matrix being estimated on line. It is shown by analytical evaluations and Monte Carlo simulations, that the performance is generally insensitive to the position of the reference sample. An additional analysis is carried out to compare the performance of the generalized linear prediction MTI with the MTI based on the Hsiao approach. It is seen that with the formation of the interference of two superimposed clutter sources the generalized linear prediction MTI suffers, in some cases, several decibels of loss.
机译:回顾了一些移动目标指标(MTI)技术,并研究了基于线性预测理论的指标。描述了MTI处理器中参考样品的位置对消除雷达系统中的杂波的影响。假设杂波协方差矩阵是先验已知的,并且该矩阵是在线估计的,则此广义线性预测MTI的分析基于对接收操作特性(ROC)的评估。分析评估和蒙特卡洛模拟表明,该性能通常对参考样品的位置不敏感。进行了额外的分析,以比较基于Hsiao方法的广义线性预测MTI和MTI的性能。可以看出,随着两个叠加杂波源的干扰的形成,广义线性预测MTI在某些情况下会遭受几分贝的损失。

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