高分辨率信号DOA估计的跟踪算法
TRACKING ALGORITHM FOR HIGH-RESOLUTION DOA ESTIMATION
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摘要: 本文论述了一种基于子空间方法的高分辨DOA估计跟踪问题的解法。该方法基于对采样数据矩阵的广义奇异值分解(GSVD)。本文讨论了GSVD的更新修正算法,在每步计算中只需有限次的运算,即可由前一次的近似分解结果计算出新的近似分解。该过程与指数加权技术相结合,可以处理信号参数估计的跟踪问题。Abstract: A subspace-based tracking algorithm is proposed for high-resolution DOA estimation, using the generalized singular value decomposition (GSVD) of the sample data matrices. A GSVD updating procedure is presented. With this procedure, a new approximate decomposition can be computed from previous one, with finite operations at each iteration. Combined with exponetial weighting technique, this algorithm can solve DOA estimation tracking problems efficiently.
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