MIMO雷达的时间反转自适应波形

Yuanwei Jin, Nicholas OrDonoughue, José M. F. Moura
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引用次数: 8

摘要

电磁多径传播在雷达和无线通信中很常见。大多数雷达系统都是假设视距(LOS)而不是多路径设计的。在本文中,我们扩展了先前在无干扰情况下多输入多输出(MIMO)雷达的研究[1],以考虑高杂波条件下的MIMO雷达检测。我们建立了一个子空间MIMO目标模型和MIMO雷达杂波的统计模型,该模型考虑了雷达回波的空间和频谱特性。研究表明,在高杂波条件下,使用正交波形信号,时间反转MIMO雷达比传统的统计MIMO雷达具有更高的检测性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time reversal adaptive waveform in MIMO radar
EM multipath propagation is common in radar and wireless communications. Most radar systems are designed assuming line-of-sight (LOS), not multipath. In this paper, we extend our prior work on Multi-Input Multi-Output (MIMO) radar in the absence of interference [1], to consider MIMO radar detection in high clutter. We develop a subspace MIMO target model and a statistical model for MIMO radar clutter that accounts for the spatial and spectral properties of radar returns. We show that, using orthogonal waveform signaling, the time reversal MIMO radar yields higher detection performance than conventional statistical MIMO radar in high clutter.
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