基于波束域实值HOSVD的双基地MIMO雷达测角算法

Angle Estimation Method Basedon Joint Real-Valued Beamspace HOSVD in Bistatic Mimo Radar

本文提出了一种基于波束域实值处理的高阶奇异值分解(Higher-Order Singular Value Decomposition)双基地多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达测角算法。该算法与传统波束域测角算法不同,通过凸优化方法对发射和接收波束域矩阵进行优化设计,可以灵活设置波束主瓣宽度并抑制副瓣电平,发射和接收波束的主副瓣比能够得到很大提高,从而达到提高回波信噪比的目的。相比于传统的矩阵信号模型,通过HOSVD获得的张量信号子空间可以得到更高的测角精度,所提算法对发射和接收波束矩阵的结构进行设计以构造实值张量信号模型。最后,通过建立映射关系的方法对插值误差进行补偿,仿真结果验证所提算法的有效性。

This paper proposes a joint real-valued beamspace-based method for angle estimation in bistatic multiple-input multiple-output(MIMO)radar,which utilizes higher-order singular value decomposition(HOSVD).Different from traditional beamspace-based angle estimation methods,the transmitting and receiving beamspace matrices are designed through convex optimization,which can flexibly control the beamwidth and limit the sidelobe level.Based on this property,the mainlobe-to-sidelobe ratio of the proposed beamspace filter can be greatly improved,which results in the improved SNR of the targets.Compared to matrix-based method,the tensor signal subspace obtained through HOSVD has higher precision,which means better angle estimation performance.More importantly,the structure of the proposed beamspace matrix can be properly designed,which is indispensable in constructing the real-valued signal model.Finally,we establish the mapping relationship to compensate the interpolation error.Simulation results verify the effectiveness of the proposed method.