基于波束域预处理的MIMO雷达MVDR波束形成算法  被引量:4

MVDR Beamforming Algorithm Based on Beamspace Preprocessing for MIMO Radar

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作  者:洪振清[1] 张剑云[1] 

机构地区:[1]电子工程学院,合肥230037

出  处:《系统仿真学报》2013年第4期722-726,731,共6页Journal of System Simulation

摘  要:传统的MIMO雷达的发射阵列通常进行全向发射,而感兴趣的目标往往集中在较小的空域范围内,全向发射就造成了大量的功率浪费,从而导致波束形成器的输出信干噪比降低,针对这一不足,提出了一种基于发射波束域预处理的MIMO雷达MVDR波束形成算法。该算法首先利用二阶锥规划设计出波束域矩阵,通过发射波束域预处理使发射功率聚集在感兴趣的区域,同时保持预处理后的导向矢量的旋转不变性,然后利用MVDR算法进行自适应波束形成。仿真结果表明:波束域预处理提高了发射功率的利用率,因此,在发射功率相同的条件下,基于发射波束域预处理的MIMO雷达MVDR波束形成器具有更高的输出信干噪比。Traditional MIMO radar always transmits omni-directionally, however, the targets of interest are usually located within a small spatial sector, so omni-directional transmission results in a great number of transmitted power dissipation, as a result, the output signal-to-interference-plus-noise ratio (SINR) of the beamformer is reduced. To resolve this problem, a minimum variance distortionless response (MFDR) beamforming algorithm based on transmit beamspace preprocessing for MIMO radar was proposed. Firstly, the second order cone programming (SOCP) was used to design the beamspace matrix, then by transmit beamspace preprocessing, the transmitted power was focused and the new steering vector's rotational invariance property was retained, and finally the MVDR adaptive beamforming algorithm was applied to MIMO radar. Simulation results demonstrate that beamspace preprocessing increases the usage ratio of the transmitted power, so under the circumstances of the same transmitted power, the MVDR beamformer's output SINR of the MIMO radar based on transmit beamspace preprocessing is greater than the traditional MIMO radar.

关 键 词:MIMO雷达 MVDR 发射波束域 二阶锥规划 自适应波束形成 

分 类 号:TN957[电子电信—信号与信息处理] TN958[电子电信—信息与通信工程]

 

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