MIMO雷达波束形成的低副瓣LCMV算法

LCMV Algorithm With Low Sidelobe in MIMO Radar Beamforming

  • 摘要: 针对大口径稀布MIMO雷达副瓣抬高和抗干扰性能劣化的问题,本文提出一种改进的线性约束最小方差(LCMV)波束形成算法。通过密集虚拟干扰构造低副瓣权,并采用修正约束的LCMV算法形成零陷。修正后的约束条件使得方向图达到在指定区域形成零陷,而在非指定区域保持低副瓣的效果。该算法在保持低副瓣电平的同时还能有效抑制干扰,特别是在低系统自由度的条件下能有效解决MIMO雷达方向图低副瓣和远区杂波干扰问题。仿真结果验证了所提算法的有效性。

     

    Abstract: In order to solve the problem of high sidelobe level and anti-jammering performance degradation in larger sparse MIMO radar, a modified LCMV algorithm based on designing constraints is proposed. In this proposed method, the low sidelobe weights are calculated by inserting virtual dense interference;and the nulls are formed by modified constraints in LCMV algorithm. Thus the pattern can maintain low side-lobe level while forming nulls in specified region. The proposed method can achieve desirable interference suppression and low side-lobe level simultaneously, especially under the condition of low free degree of system. Simulation results prove the efficiency of this modified LCMV algorithm.

     

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