摘要
文中提出了一种新的相干信号波达方向(DOA)的估计算法,它综合了两种代表算法即SVD算法和Toeplitz算法的优点,在低信噪比条件下能有效地估计相干信源,估计精度更高,并简单介绍了SVD和Toeplitz算法。最后用大量的计算机仿真实验来说明新方法的性能:即低信噪比情况下(-5dB),且信号源夹角为10o时,SVD算法已基本失效,Toeplitz算法的分辨误差很大,达到1.5o,而TSVD方法仍能精确地分辨出信号源,成功率为100%。
A new algorithm integrating the advantages of conventional singular value decomposition (SVD) algorithm and Toeplitz algorithm is proposed. The paper briefs the two conventional algorithms and summarizes a four-step procedure for the TSVD algorithm. Simulation results, presented in Figs. 1 and 2 of section 3, show that the TSVD algorithm has better performance than the conventional Toeplitz and SVD algorithms in accuracy and stability. When SNR is -5 dB and the angular difference of two signal sources is 10°, the SVD algorithm basically ceases to be effective; the identification error of Toeplitz algorithm is fairly large and up to 1.5°, and even under this condition, the TSVD algorithm could precisely identify the signal source, and its success rate is up to 100%.
出处
《信息安全与通信保密》
2009年第12期99-101,共3页
Information Security and Communications Privacy
关键词
波达方向
相干信号
低信噪比
奇异值分解
direction of arrival
coherent signal
signal to noise ratio
singular value decomposition