基于ESPRIT算法的L型阵列MIMO雷达降维DOA估计

梁浩*; 崔琛; 代林; 余剑

doi:10.11999/JEIT141295

基于ESPRIT算法的L型阵列MIMO雷达降维DOA估计

doi: 10.11999/JEIT141295

梁浩*¹,
崔琛¹,
代林¹,
余剑¹

基金项目:

国家自然科学基金(60702015)和电子工程学院院控科研基金(KY13A206)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2014-10-09
- 修回日期: 2015-05-07
- 刊出日期: 2015-08-19

Reduced-dimensional DOA Estimation Based on ESPRIT Algorithm in MIMO Radar with L-shaped Array

摘要

摘要: 该文针对L型阵列MIMO雷达的2维角度估计问题，基于ESPRIT算法提出两种降维DOA估计方法。首先通过降维矩阵的设计及回波数据的降维变换，将高维回波数据转换至低维信号空间；然后分别基于特征分解和传播算子获得信号子空间的估计，最后利用ESPRIT算法实现2维空间角参量的联合估计及参数的自动配对。算法不牺牲阵列孔径，最大程度地降低了回波数据的维数，具有更低的运算复杂度。仿真结果验证了该文理论分析的正确性和算法的有效性。
- MIMO雷达 /
- L型阵列 /
- 降维ESPRIT /
- 低复杂度
Abstract: In order to solve the issue of two dimensional angles estimation for MIMO radar with L-shaped array, two novel reduced-dimensional Direction Of Arrival (DOA) estimation methods using ESPRIT algorithm are proposed. Firstly, through the reduced-dimensional matrix design and reduced-dimensional transformation, the high dimensional received data can be transformed into a lower dimensional signal space. Then, the signal space can be achieved via the eigen-value decomposition and propagator operator method respectively, and two dimensional spatial angle parameters can be joint estimated using ESPRIT algorithm with automatic pairing. The proposed two methods remove data redundancy of high dimensional received data at the greatest degree without costing the aperture of array and have lower computation complexity. Simulation results verify the correctness of theoretical analysis and the effectiveness of proposed algorithm.
- MIMO radar /
- L-shaped array /
- Reduced-dimensional ESPRIT /
- Low complexity

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参考文献(23)

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