Bi-iterative MVDR Beamforming based on Beamspace Preprocessing for MIMO radars

Sheng Hong, J. Li, Y. Ai, Yantao Dong, Zhixin Zhao, Yuhao Wang
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引用次数: 1

Abstract

In this paper, a bi-iterative minimum-variance distortionless response (MVDR) beamforming technique based on the beamspace preprocessing is proposed to solve two typical problems of the traditional MVDR beamformers in multi-input multi-output (MIMO) radars. Firstly, the omnidirectional power is radiated by traditional MIMO radars, however, the interested target is usually located in a certain spatial area. The unnecessary radiation on other areas will reduce the output signal-to-interference-plus-noise ratio (SINR) of the MVDR beamformer. To solve this problem, a transmit beamspace preprocessing by second order cone programming (SOCP) is utilized to focus the energy in the interested region. Secondly, the MVDR beamformer in MIMO radars usually requires a great number of training samples and very high computation load, since both the transmitted degrees of freedom (DoF) and the received DoF are fully utilized. To tackle with these problems, a bi-iterative MVDR beamforming algorithm is proposed based on the beamspace preprocessing. Simulation results demonstrate the efficiency of the proposed beamforming algorithm.
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基于波束空间预处理的MIMO雷达双迭代MVDR波束形成
针对传统MVDR波束形成技术在多输入多输出(MIMO)雷达中存在的两个典型问题,提出了一种基于波束空间预处理的双迭代最小方差无失真响应(MVDR)波束形成技术。首先,传统MIMO雷达发射的是全向功率,而感兴趣的目标通常位于一定的空间区域内。在其他区域不必要的辐射会降低MVDR波束形成器的输出信噪比。为了解决这一问题,利用二阶锥规划(SOCP)对发射波束空间进行预处理,将能量集中在感兴趣的区域。其次,MIMO雷达中的MVDR波束形成器由于需要充分利用发射自由度和接收自由度,通常需要大量的训练样本和很高的计算负荷。为了解决这些问题,提出了一种基于波束空间预处理的双迭代MVDR波束形成算法。仿真结果验证了所提波束形成算法的有效性。
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