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研究了窄带波束域高分辨方位估计问题,对有信号源的波束覆盖区域之外存在强干扰的情况,提出目标分辨和方位估计的解决方案。对于强干扰和信源弱相关的情况,提出基于采样协方差矩阵求逆的MVDR自适应波束来抑制强干扰。对于强干扰和信源强相关的情况,提出采用基于虚拟干扰源的MVDR波束形成方法以抑制强干扰源。仿真结果表明,无论是对弱相关还是强相关干扰,基于MVDR思想的波束域MUSIC方法是一种分辨空间小角域内的多个目标的有效方法。
The problem of high resolution DOA estimation in narrowband beamfield is studied. The solution to the target discrimination and azimuth estimation is put forward in the case of strong interference outside the beam coverage area with signal source. For the case of strong interference and source weak correlation, we propose an MVDR adaptive beam based on sampling covariance matrix inversion to suppress strong interference. For strong interference and strong source correlation, a MVDR beamforming method based on virtual interference sources is proposed to suppress strong interference sources. The simulation results show that the MUSIC method based on MVDR is an effective method to distinguish multiple targets in the small-angle domain of space, whether it is weakly correlated or strongly correlated.