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Fast direction finding for bistatic EMVS-MIMO radar without pairing
Signal Processing ( IF 4.4 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.sigpro.2020.107512
Fangqing Wen , Junpeng Shi

Abstract In this Communication, we revisit the parameter estimation problem in a bistatic multiple-input multiple-output (MIMO) radar system with electromagnetic vector sensors (EMVS), and a modified algorithm is suggested. Firstly, the signal subspace is obtained via propagator method. Thereafter, automatically paired spatial angles are achieved by exploiting rotation invariant property as well as vector cross-product strategy. Finally, polarization parameters are calculated based on least squares technique. The suggested algorithm is analyzed in terms of identifiability, complexity, theoretical asymptotic error as well as Cramer-Rao bound (CRB). It is computationally-friendly and it offers automatically paired direction estimation. Moreover, it provides better estimation accuracy than state-of-the-art matrix-based methods. Simulation results verify the improvement of the proposed algorithm.

中文翻译:

无需配对的双基地 EMVS-MIMO 雷达快速测向

摘要 在本文中,我们重新审视了具有电磁矢量传感器 (EMVS) 的双基地多输入多输出 (MIMO) 雷达系统中的参数估计问题,并提出了一种改进算法。首先,通过传播器方法获得信号子空间。此后,通过利用旋转不变性和向量叉积策略实现自动配对的空间角度。最后,基于最小二乘法计算极化参数。从可识别性、复杂性、理论渐近误差以及 Cramer-Rao 界 (CRB) 方面分析了所建议的算法。它具有计算友好性,并提供自动配对方向估计。此外,它提供了比最先进的基于矩阵的方法更好的估计精度。
更新日期:2020-08-01
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