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The effect of the clutter-to-noise ratio on Doppler filter performance

机译:杂波噪声比对多普勒滤波器性能的影响

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The effect of the clutter-to-noise ratio on the performance of a Doppler filter is considered. Clutter is assumed to have a power level which is unknown and varies in range. The assessment of the performance of a Doppler filter is based on the gain of the filter, which is the normalized output signal-to-interference ratio improvement at a given Doppler. The gain is generally a complex function of the statistics of the clutter. New upper and lower bounds on the gain differential between the expected design point clutter-to-noise ratio and the actual clutter-to-noise ratio are found. These bounds are independent of the clutter covariance matrix and are only a function of the unknown clutter-to-noise ratio. The bounds are valid for both Gaussian and non-Gaussian noise and for arbitrary linear filters. The upper and lower bounds differ by the theoretical coherent integration gain, 10 logN dB, where N is the number of pulses. A tighter lower bound is found for the case when the filters are matched filters. A simple exact expression is found for matched filters assuming a Gaussian Markov clutter model as the clutter spectral width approaches zero. An easily implementable adaptive procedure is given which improves performance due to the unknown clutter-to-noise ratio. This work extends a previous result, valid for the Emerson filter, that shows the effect of clutter-to-noise ratio on performance in terms of an average quantity, the improvement factor.
机译:考虑了杂波噪声比对多普勒滤波器性能的影响。假定杂波具有未知的功率电平,并且在范围内变化。对多普勒滤波器性能的评估基于滤波器的增益,该增益是在给定多普勒条件下归一化输出信号干扰比的提高。增益通常是杂波统计量的复杂函数。找到了预期设计点杂波噪声比与实际杂波噪声比之间的增益差的新上限和下限。这些界限独立于杂波协方差矩阵,并且仅是未知杂波噪声比的函数。边界对于高斯和非高斯噪声以及任意线性滤波器均有效。上限和下限的区别在于理论相干积分增益10 logN dB,其中N是脉冲数。当过滤器与过滤器匹配时,可以找到更严格的下界。在杂波频谱宽度接近零时,假设高斯马尔可夫杂波模型,可以找到匹配滤波器的简单精确表达式。由于未知的杂波噪声比,给出了一种易于实现的自适应过程,该过程可提高性能。这项工作扩展了对艾默生滤波器有效的先前结果,该结果以平均数量(改善因子)显示了杂波噪声比对性能的影响。

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