Direction-of-Arrival Tracking via Low-Rank Plus Sparse Matrix Decomposition
Direction-of-Arrival Tracking via Low-Rank Plus Sparse Matrix Decomposition
复制标题
通过低秩加稀疏矩阵分解的到达方向跟踪
DOI：
10.1109/lawp.2015.2403392
复制
发表时间：
2015-01-01
影响因子：
4.2
通讯作者：
Zhu, Jubo
中科院分区：
文献类型：
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作者：
Lin, Bo;Liu, Jiying;Zhu, Jubo
在这封信中，提出了一种使用均匀线性阵列跟踪移动源的到达方向（DOA）的新方法，称为通过低秩和稀疏恢复跟踪（TvLSR）。基于静止源的低秩特性和移动源的稀疏性，TvLSR通过凸优化整体跟踪所有快照上的源DOA，而不是像现有方法那样通过一系列逐快照的DOA估计来跟踪源的DOA。该方法可以有效地跟踪 DOA，并具有其他几个优点：适用于复杂场景，包括多个相交轨迹，不需要移动源和固定源的数量，以及对噪声扰动的鲁棒性。数值模拟证明了TvLSR在DOA跟踪方面的优异性能。
In this letter, a novel method is proposed to track the direction-of-arrival (DOA) of moving sources using a uniform linear array and is named as Tracking via Low-rank and Sparse Recovery (TvLSR). Based on the low-rank property of stationary sources and the sparsity of moving sources, TvLSR tracks the DOA of sources over all snapshots integrally via a convex optimization, instead of via a series of DOA estimation snapshot-by-snapshot as some existing method. This method can track DOA efficiently with several other merits: applicability to complex scenarios, including multiple intersecting trajectories, no requirement of numbers of moving sources and stationary sources, and robustness to noisy perturbation. Numerical simulations are carried out to demonstrate the excellent performance of TvLSR for DOA tracking.