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实验分析了一种重要的盲波束形成算法——多级恒模阵对多个统计独立目标的方位估计性能,并与一些“盲”的和非“盲”的方位估计算法进行了比较。首先考虑了理想的阵列模型。然后在阵元响应中加入阵元幅相误差,通过改变误差的大小,进一步分析了算法对阵列模型误差的稳健性。最后针对不同尺寸接收阵和目标间不同角度间距分别进行了水池实验。计算机仿真实验和水池实验数据处理结果表明:当目标源间统计独立时,多级恒模阵对目标信号的捕获、分离不依赖于阵列流形,可以在盲分离信号的基础上估计出目标方位,角度分辨率不受瑞利限的限制,而且对阵列模型误差具有较好的稳健性。该结果验证了多级恒模阵可以对统计独立的多目标方位进行稳健盲估计。
An important blind beamforming algorithm - the performance of multi-level constant-matrix estimation for multiple independent targets is analyzed experimentally and compared with some “blind” and non-“blind” position estimation algorithms. First consider the ideal array model. Then the amplitude and phase error of the array element is added into the element response, and the robustness of the algorithm to the array model error is further analyzed by changing the size of the error. Finally, for different sizes of receiver array and target spacing between the different angles of the pool experiments. Computer simulation experiments and experimental data processing results show that: when the statistical independence between the target source, the multi-level constant matrix array capture and separation of the target signal does not depend on the array manifold, the blind signal can be separated based on the estimated target position , The angular resolution is not limited by the Rayleigh limit, and the robustness of the array model error is good. This result verifies that a multi-level constant matrix can perform robust blind estimation of statistically independent multi-target orientations.