CAJ | 학술논문

MUSIC算法是一种子空间分解算法。在非相干的情况下，经典MUSIC算法能准确进行波达方向（ DOA）估计，但当信号源在相干的情况下时算法失效。在对经典MUSIC算法进行理论分析研究的基础上，对其阵元接收数据阵做相应变换，得到共轭重构后的协方差矩阵，通过特征值分解再进行DOA估计。就经典的MUSIC和改进算法的DOA估计性能进行了仿真分析。结果表明，改进后的算法在信号源相干的情况下也能精确地估计信号的波达方向。
MUSIC산법시일충자공간분해산법。재비상간적정황하，경전MUSIC산법능준학진행파체방향（ DOA）고계，단당신호원재상간적정황하시산법실효。재대경전MUSIC산법진행이론분석연구적기출상，대기진원접수수거진주상응변환，득도공액중구후적협방차구진，통과특정치분해재진행DOA고계。취경전적MUSIC화개진산법적DOA고계성능진행료방진분석。결과표명，개진후적산법재신호원상간적정황하야능정학지고계신호적파체방향。
MUSIC algorithm is a kind of subspace decomposition algorithm.For decorrelation signals,classical MUSIC algorithm can accurately estimate the DOA,but for correlation signals,it doesn't work. Based on a theoretical analysis and study on the classical MUSIC algorithm,a corresponding transformation is performed for the received data matrix,then the covariance matrix after conjugate reconstruction is obtained,and the DOA is estimated through eigenvalue decomposition.By simulation,the DOA estimation performance of the improved algorithm and the classical MUSIC is analyzed.The results show that even for correlation signals,the improved algorithm can accurately estimate the DOA.