Height Measurement with Meter Wave Polarimetric MIMO Radar: Signal Model and MUSIC-like Algorithm
Height Measurement with Meter Wave Polarimetric MIMO Radar: Signal Model and MUSIC-like Algorithm
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DOI：
10.1016/j.sigpro.2021.108344
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发表时间：
2021-10-03
影响因子：
4.4
通讯作者：
Chen, Chen
中科院分区：
文献类型：
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作者：
Zheng, Guimei;Song, Yuwei;Chen, Chen
鉴于极化分集和波形分集的优点，结合了这两种优势的极化多输入多输出(MIMO)雷达是一个值得深入研究的课题。高程测量是米波雷达需要解决的关键问题之一。因此，本文重点研究了米波极化MIMO雷达高程测量。首先，结合这两种分集技术，推导了平地反射测高信号模型。然后，对信号模型进行适当的分类和修改，使其适用于经典的超分辨测高算法，包括广义多信号分类(MUSIC)算法和导向矢量合成(SVS)MUSIC算法。发现了SVS-MUSIC系统中存在的分束问题，并给出了相应的解决方案。所提出的算法也被推广到长偶极子和大环路MIMO雷达。给出了这两种算法的计算复杂度以及极化MIMO雷达的Cramer Rao界(CRB)的推导。这些方法不需要消相干。本文的创新之处在于为米波极化MIMO雷达提供了一种测高信号模型及其有效的解决方案。仿真结果证明了该方法的准确性。(C)2021年爱思唯尔B.V.保留所有权利。
Inview of the advantages of polarization diversity and waveform diversity, polarimetric multiple-input multiple-output (MIMO) radar, which combines the two advantages, is a subject worthy of in-depth study. Height measurement is one of the key problems to be solved for meter wave radar. Therefore, this paper focuses on height measurement with meter wave polarimetric MIMO radar. First, we derive the height measurement signal model for flat ground reflection combined with the two diversity techniques. Then, we properly classify the signal model and modify it to make it suitable for the classical super-resolution height measurement algorithms, including the generalized multiple signal classification(MUSIC) algorithm and steering vector synthesis (SVS) MUSIC algorithm. The split beam question in SVS-MUSIC is found and the resolution is provided. The proposed algorithms are also extended to long dipoles and large loop MIMO radar. Moreover, the computational complexity of the two algorithms and the derivation of Cramer Rao bound (CRB) for polarimetric MIMO radar are given. These methods do not require decoherence. The innovation of this paper is to provide a height measurement signal model for meter wave polarimetric MIMO radar along with its effective solution. The simulation results prove the accuracy of this approach. (c) 2021 Elsevier B.V. All rights reserved.