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Space-Time Coding for MIMO Radar Detection and Ranging

机译:用于MIMO雷达检测和测距的空时编码

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摘要

Space-time coding (STC) has been shown to play a key role in the design of MIMO radars with widely spaced antennas: In particular, rank-one coding amounts to using the multiple transmit antennas as power multiplexers, while full-rank coding maximizes the transmit diversity, compromises between the two being possible through rank-deficient coding. In detecting a target at known distance and Doppler frequency, no uniformly optimum transmit policy exists, and diversity maximization turns out to be the way to go only in a (still unspecified) large signal-to-noise ratio region. The aim of this paper is to shed some light on the optimum transmit policy as the radar is to detect a target at an unknown location: To this end, at first the Cramér–Rao bounds as a function of the STC matrix are computed, and then waveform design is stated as a constrained optimization problem, where now the constraint concerns also the accuracy in target ranging, encapsulated in the Fisher Information on the range estimate. Results indicate that such accuracy constraints may visibly modify the required transmit policy and lead to rank-deficient STC also in regions where pure detection would require pursuing full transmit diversity.
机译:时空编码(STC)已被证明在天线间距较大的MIMO雷达设计中起着关键作用:特别是,秩一编码相当于将多个发射天线用作功率多路复用器,而全秩编码则最大化了在传输分集方面,通过秩不足编码可能在两者之间折衷。在以已知距离和多普勒频率检测目标时,不存在统一的最佳发射策略,而分集最大化已成为仅在(仍未指定)大信噪比区域中进行的方式。本文的目的是阐明最佳发射策略,因为雷达将探测未知位置的目标:为此,首先计算作为STC矩阵函数的Cramér-Rao边界,然后然后将波形设计陈述为一个约束优化问题,现在约束也涉及目标测距的精度,该精度封装在距离估算的Fisher信息中。结果表明,这种精度约束可能会明显地改变所需的传输策略,并在纯检测将需要完全传输分集的区域中导致等级不足的STC。

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