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

计量
- 文章访问数: 1602
- HTML全文浏览量: 198
- PDF下载量: 616
- 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

HTML全文

参考文献(23)

Chen H W, Li X, Jiang W D, et al.. MIMO radar sensitivity analysis of antenna position for direction finding[J]. IEEE Transactions on Signal Processing, 2012, 60(10): 5201-5216.

Huleihel W, Tabrikian J, and Shavit R. Optimal adaptive waveform design for cognitive MIMO radar[J]. IEEE Transactions on Signal Processing, 2013, 61(20): 5075-5089.

Cheng Q and Hua Y. Further study of the pencil-MUSIC algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(1): 284-299.

Tang B, Tang J, Zhang Y, et al.. Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar[J]. Signal Processing, 2013, 93(5): 1349-1357.

Arash K, Aboulnasr H, Sergiy A V, et al.. Efficient transmit beamspace design for search-free based DOA estimation in MIMO radar[J]. IEEE Transactions on Signal Processing, 2014, 62(6): 1490-1500.

Bencheikh M L and Wang Y. Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar [J]. IEE Electronics Letters, 2010, 46(15): 2686-2691.

Li C C, Liao G S, Zhu S, et al.. An ESPRIT-like algorithm for coherent DOA estimation based on data matrix decomposition in MIMO radar[J]. Signal Processing, 2011, 91(8): 1803-1811.

Zheng G M, Chen B X, and Yang M L. Unitary ESPRIT algorithm for bistatic MIMO radar[J]. Electronics Letters, 2012, 48(3): 179-181.

Li J F and Zhang X F. A method for joint angle and array gain-phase error estimation in bistatic multiple input multiple output nonlinear arrays[J]. IET Signal Processing, 2014, 8(2): 131-137.

Jiang H, Zhang Y, Li J, et al.. A PARAFAC-based algorithm for multi-dimensional parameter estimation in polarimetric bistatic MIMO radar[J]. EURASIP Journal on Advances in Signal Processing, 2013, 2013(1): 1-14.

符渭波, 赵永波, 苏涛, 等. 基于L型阵列MIMO雷达的DOA矩阵方法[J]. 系统工程与电子技术, 2011, 33(11): 2398-2403.

Fu W B, Zhao Y B, Su T, et al.. DOA matrix method based on MIMO radar with L-shape arrays[J]. Systems Engineering and Electronics, 2011, 33(11): 2398-2403.

谢荣, 刘铮, 等. 基于L型阵列MIMO雷达的多目标分辨和定位[J]. 系统工程与电子技术, 2010, 32(1): 49-52.

Xie R, Liu Z, et al.. Multi-target identification and localization in MIMO radar with L-shape arrays[J]. Systems Engineering and Electronics, 2010, 32(1): 49-52.

王伟, 王晓萌, 李欣, 等. 基于MUSIC算法的L型阵列MIMO雷达降维DOA估计[J]. 电子与信息学报, 2014, 36(8): 1954-1959.

Wang W, Wang X M, Li X, et al.. Reduced-dimensional DOA estimation based on MUSIC algorithm in MIMO radar with L-shaped array[J]. Journal of Electronics Information Technology, 2014, 36(8): 1954-1959.

蔡晶晶, 鲍丹, 李鹏, 等. 强约束优化降维MUSIC二维DOA估计[J]. 电子与信息学报, 2014, 36(5): 1113-1118.

Cai J J, Bao D, Li P, et al.. Two-dimensional DOA estimation using reduced-dimensional MUSIC algorithm with strong- constraint optimization[J]. Journal of Electronics Information Technology, 2014, 36(5): 1113-1118.

Zhang X and Xu D. Low-complexity ESPRIT-based DOA estimation for colocated MIMO radar using reduced- dimension transformation[J]. Electronics Letters, 2011, 17(47): 283-284.

郑志东, 张剑云, 康凯, 等. 互耦条件下双基地MIMO雷达的收发角度估计[J]. 中国科学: 信息科学, 2013, 43(6): 784-797.

Zheng Z D, Zhang J Y, Kang K, et al.. Joint DOD and DOA estimation for bistatic MIMO radar in the presence of mutual coupling[J]. SCIENCE CHINA Information Sciences, 2013, 43(6): 784-797.

郑志东, 张剑云, 屈金佑, 等. 新的双基地MIMO雷达角度估计方法[J]. 通信学报, 2012, 33(12): 123-132.

Zheng Z D, Zhang J Y, Qu J Y, et al.. Novel method for angle estimating of bistatic MIMO radar[J]. Journal on Communications, 2012, 33(12): 123-132.

施引文献

资源附件(0)

访问统计