摘要
提出基于G-S(Gram-Schmidt)正交算法的信号子空间宽带聚焦DOA估计算法。该算法基于G-S正交方法,求得矩阵的信号子空间,并利用局域子空间投影算法(LSP),构造宽带信号子空间最佳聚焦矩阵。分析表明,该算法不需矩阵特征分解,运算量小于双边变换(TCT)方法,性能优于TCT方法。仿真结果证明了算法的有效性。
Signal algorithm is described subspace wideband focusing DOA estimation algorithm based on Gram Schmidt Orthogonal Signal subspace of matrix is obtained by the algorithm based on G-S Orthogonal method, and the optimal focusing matrix of wideband signal subspace is formed by using localized subspace projection. The algorithm demands no matrix eigen decomposition, and its computational load is smaller than that of two sided correlation transformation （TCT） algorithm, while the performance of the new algorithm is better than that of TCT. Simulation results have proved the effectiveness of the new method.
出处
《通信技术》
2009年第4期10-12,共3页
Communications Technology
关键词
DOA估计
宽带信号
G-S算法
局域子空间投影
direction of arrival estimation
wideband signal
Gram-Schmidt algorithm
localized subspace projection
