基于阵列误差校正的波束域方位估计算法实验研究

Array Calibration for Facilitating Direction Finding with Beamspace High-Resolution Algorithm

针对阵列误差的存在会导致波束域高分辨方位估计算法性能下降的问题,给出了一种基于阵列误差校正的波束域处理方法。该方法利用单个校正源,根据实际测量数据,在获取基阵实测阵列流形的基础上,实现了对阵列误差的校正,进而利用波束域MUSIC算法估计出信号的方位。实验结果验证了基于实测阵列流形的阵列误差校正方法可以有效增强波束域高分辨算法对阵列误差的稳健性。

Aim. The beamspace high-resolution algorithm is generally acknowledged to be effective except that it is sensitive to array model errors, sometimes leading to its becoming ineffective. We now present an array calibration technique that is easy to apply and can, we believe, always ensure the effectiveness of the algorithm despite array model errors. In the full paper, we explain the array calibration technique in detail; in this abstract, we just add some pertinent remarks to the two topics of explanation： （1） beamspace high-resolution MUSIC algorithm and （2） the array calibration technique based on measured array manifold; in topic 1, eqs. （1） through （9） in the full paper are taken from the open literature; the subtopics of topic 2 are the calculation of measured array manifold （subtopic 2. 1） and array error calibration technique （subtopic 2.2） ; in subtopic 2.1, we calculate the measured array manifold with eqs. （10）, （11） and （12） in the full paper taken from the open literature; in subtopic 2.2, we use eq. （14） in the full paper derived by us to calculate the calibration matrix, which is then used to compensate for array model errors. Experimental results on the effectiveness of our array error calibration are given in Figs. 4 and 5 in the full paper. Fig. 4 shows that two incident signals reasonably apart originally can be clearly distinguished from each other. Fig. 5（a） shows that probability of resolution can be appreciably raised. Fig. 5（b） shows that bias of DOA （Direction of Arrival） estimation can be appreciably lowered.