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Clutter Rank of STAP in MIMO Radar With Waveform Diversity

机译:具有波形分集的MIMO雷达中STAP的杂波等级

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In recent years, multiple-input multiple-output (MIMO) radar systems with space-time adaptive processing (STAP) have been proposed to improve radar performance. For MIMO radars with STAP, one big concern is the clutter rank. Current studies employ the rule of time-bandwidth product to predict the clutter rank of MIMO radars using orthogonal waveforms. This paper investigates clutter rank estimation for MIMO radar systems with more flexible waveform diversity, where waveforms are not constrained to be orthogonal. Under general waveform assumption, we have derived the clutter covariance matrix as a function of waveform covariance matrix (WCM). The clutter rank is then found to be determined by the rank and structure of the WCM. For different waveform cases, the WCM may be either full rank or rank deficient. Rules for estimation of clutter rank in these cases are provided and demonstrated by numerical simulations.
机译:近年来,已经提出了具有空时自适应处理(STAP)的多输入多输出(MIMO)雷达系统,以提高雷达性能。对于带有STAP的MIMO雷达,一个主要的问题是混乱的等级。当前的研究采用时间带宽积的规则,使用正交波形预测MIMO雷达的杂波秩。本文研究了具有更灵活的波形分集的MIMO雷达系统的杂波秩估计,其中,波形不限于正交。在一般波形假设下,我们推导了杂波协方差矩阵作为波形协方差矩阵(WCM)的函数。然后发现混乱级别由WCM的级别和结构确定。对于不同的波形情况,WCM可能为满秩或秩不足。在这些情况下,提供了用于估计杂波等级的规则,并通过数值模拟进行了演示。

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