论文:2018,Vol:36,Issue(1):182-188
引用本文:
张秦, 张林让, 师俊朋, 周延年, 刘亚宁. 基于空间差分重构的MIMO雷达低空目标DOA估计方法[J]. 西北工业大学学报
Zhang Qin, Zhang Linrang, Shi Junpeng, Zhou Yannian, Liu Yaning. Spatial Differencing Reconstruction Based Low-Angle DOA Estimation with MIMO Radar[J]. Northwestern polytechnical university

基于空间差分重构的MIMO雷达低空目标DOA估计方法
张秦1,2, 张林让1, 师俊朋2, 周延年2, 刘亚宁2
1. 西安电子科技大学 雷达信号处理国家重点实验室, 陕西 西安 710071;
2. 空军工程大学防空反导学院, 陕西 西安 710051
摘要:
用雷达系统探测低空和超低空目标时,角度估计性能会因多径效应的影响而下降。针对这一问题,通过建立低空多径环境下MIMO雷达阵列接收信号模型,提出了一种基于空间差分重构的DOA估计方法;首先利用空间分集特性,对多径回波能量进行回波信号优选;通过空间差分迭代计算进一步降低噪声对估计精度的影响,较好地实现了对低空目标的DOA估计。仿真验证的结果表明该方法在抑制噪声干扰、提高估计精度方面,具有较大的优势。
关键词:    MIMO雷达    多径效应    空间差分重构    DOA估计   
Spatial Differencing Reconstruction Based Low-Angle DOA Estimation with MIMO Radar
Zhang Qin1,2, Zhang Linrang1, Shi Junpeng2, Zhou Yannian2, Liu Yaning2
1. National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;
2. Air and Missile Defense College, Airforce Engineering University, Xi'an 710051, China
Abstract:
Due to the multipath effect, the direction of arrival (DOA) estimation performance for low-angle targets decreases greatly. To overcome this problem, this paper proposes a spatial differencing reconstruction based DOA estimation algorithm by using the received signal model of multiple input multiple output (MIMO) radar. Combining with the spatial diversity of MIMO radar, the proposed method can first use the multipath echo power to select the best signal. Then, a spatial differencing based iterative scheme is developed to reduce the effect of additive noise, resulting in a better estimation performance for low-angle targets. Simulation results show that the proposed method has better advantages in suppressing noise and improving estimation accuracy.
Key words:    MIMO radar    multipath effect    spatial differencing reconstruction    DOA estimation   
收稿日期: 2017-02-18     修回日期:
DOI:
基金项目: 国家自然科学基金(61601504)资助
通讯作者:     Email:
作者简介: 张秦(1974-),西安电子科技大学博士生,空军工程大学副教授,主要从事雷达信号处理及信息融合技术研究。
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