摘要
多重信号分类算法(MUSIC)算法是一种基于相关矩阵特征值分解超分辨方位估计算法。MVM不需要判别信号源个数和特征值分解,运算量减小,但受SNR和快拍数影响较大。主要研究了一种基于圆阵的改进MVM算法,通过接收信号时域数据相关矩阵,对相关矩阵进行特征值分解,可以得到信号子空间和噪声子空间的表达式,并将表达式进行变形,最终得到改进算法空间谱表达式。最后通过MATLAB仿真实验表明算法的正确性和有效性。
Multi-signal classification（MUSIC） is one of direction-finding techniques with high resolution based on correlation matrix eigen-value decomposition.MVM does not need to discriminate the number of signal sources and eigen-value decomposition of signal correlation matrix,with less computation,but it is sensitive to SNR and snapshots.This paper mainly studies an improved MVM algorithm based on circular array.The eigen-value decomposition is performed for received correlation matrix of signal time domain data to obtain the expression of signal subspace and noise subspace.The expression is deformed to deduce the expression of improved algorithm spatial spectrum.The MATLAB simulation experiment proves the correctness and effectiveness.
出处
《无线电通信技术》
2013年第4期47-49,共3页
Radio Communications Technology
