基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
论文从实际应用的角度出发，全面论述了子空间类多目标方位估计和跟踪算法的理论和方法。
Aiming at the applications in engineering, the principles of subspace algorithms about the DOAs estimating and tracking are discussed comprehensively in this dissertation.
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