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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。
A wideband focused DOA estimation algorithm for signal subspace based on G-S (Gram-Schmidt) orthogonal algorithm is proposed. The algorithm obtains the signal subspace of the matrix based on the G-S orthogonal method and constructs the best focus matrix of the wideband signal subspace by using the local subspace projection algorithm (LSP). The analysis shows that the proposed algorithm does not require matrix eigendecomposition, and the computational complexity is less than that of the bilateral transforms (TCT). The performance of the algorithm is better than that of TCT. Simulation results prove the effectiveness of the algorithm.