Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC
Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC
复制标题
使用降维 MUSIC 的 MIMO 雷达中的出发方向 (DOD) 和到达方向 (DOA) 估计
DOI：
10.1109/lcomm.2010.102610.101581
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发表时间：
2010-12-01
期刊：
影响因子：
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通讯作者：
Xu, Dazhuan
中科院分区：
文献类型：
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作者：
Zhang, Xiaofei;Xu, Lingyun;Xu, Dazhuan
这封信讨论了多输入多输出（MIMO）雷达的离开方向（DOD）和到达方向（DOA）估计问题，并在其中推导了一种降维多重信号分类（MUSIC）算法。所提出的算法仅需一维搜索，能够避免二维MUSIC（2D - MUSIC）算法中的高计算成本。我们表明该算法性能优于ESPRIT算法，且与2D - MUSIC算法性能非常接近。此外，我们的算法无需成对匹配。仿真结果验证了我们算法的有效性。
This letter discusses the problem of direction of departure (DOD) and direction of arrival (DOA) estimation for multi-input multi-output (MIMO) radar, and derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid the high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that the algorithm has better performance ESPRIT algorithm, and has very close performance to 2D-MUSIC algorithm. Further our algorithm requires no pair matching. Simulation results verify the usefulness of our algorithm.