对数螺旋阵列的相干信号 DOA 估计研究

在对数螺旋阵相干信号DOA估计的研究中，本文提出一种VA-MMUSIC算法，把对数螺旋阵虚拟成均匀线阵，推导出虚拟后阵列的协方差矩阵，再将协方差矩阵应用到MMUSIC算法中，对相干信号进行DOA估计。仿真结果表明，VA-MMUSIC算法，能够实现对相干信号的DOA估计，且在信噪比为10 dB,信号间隔在5°以内时，VA-MMUSIC算法依然能准确地估计出相干信号源的方位角，误差始终保持在0.5°内，验证了此方法的有效性。并在实际实验条件下利用对数螺旋阵列接收相干信号源数据，验证了实际环境下VA-MMUSIC算法的有效性。

Research on DOA estimation of coherent signals from logarithmic spiral arrays

In the research of DOA estimation of coherent signals from logarithmic spiral arrays, this paper proposes a VA-MMUSIC algorithm that virtualizes the logarithmic spiral array into a uniform line array, derives the covariance matrix of the virtualized array, then applies the covariance matrix to the MMUSIC algorithm to perform DOA estimation of coherent signals. Simulation results show that the VA-MMUSIC algorithm, is able to achieve DOA estimation of coherent signals, and at a signal-to-noise ratio of 10 dB and signal intervals within 5°, the VA-MMUSIC algorithm is still able to accurately estimate the azimuth of the coherent signal source, with errors always remaining within 0. 5°, verifying the effectiveness of this method. The effectiveness of the VA-MMUSIC algorithm in a practical environment is also verified by using a logarithmic spiral array to receive coherent signal source data under real experimental conditions.