Unimodular sequence sets with good correlations for MIMO radar

Hao He, P. Stoica, Jian Li
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引用次数: 17

Abstract

A multi-input multi-output (MIMO) radar system that transmits orthogonal waveforms via its antennas can achieve a greatly increased virtual aperture compared with its phased-array counterpart. Practical radar requirements such as unit peak-to-average power ratio and range compression dictate that we use MIMO radar waveforms that have constant modulus and good auto- and cross-correlation properties. We present in this paper new computationally efficient cyclic algorithms for MIMO radar waveform synthesis. These algorithms can be used for the design of unimodular MIMO sequences that have very low auto-and cross-correlation sidelobes in a specified lag interval, and of very long sequences that could hardly be handled by other algorithms previously suggested in the literature. A number of examples are provided to demonstrate the performances of the new waveform synthesis algorithms.
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具有良好相关性的MIMO雷达单模序列集
多输入多输出(MIMO)雷达系统通过天线传输正交波形,可以实现比相控阵雷达系统更大的虚拟孔径。实际雷达需求,如单位峰均功率比和距离压缩,要求我们使用具有恒定模量和良好的自相关和互相关特性的MIMO雷达波形。本文提出了一种新的计算效率高的MIMO雷达波形合成循环算法。这些算法可用于设计在特定滞后间隔内具有非常低的自相关和相互相关副瓣的单模MIMO序列,以及以前文献中提出的其他算法难以处理的非常长的序列。通过实例验证了新波形合成算法的性能。
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