空域分解的机载MIMO雷达空时处理方法

doi:10.3969/j.issn.0372-2112.2017.10.006

电子学报 ›› 2017, Vol. 45 ›› Issue (10): 2348-2354.DOI: 10.3969/j.issn.0372-2112.2017.10.006

空域分解的机载MIMO雷达空时处理方法

周延, 姜博, 聂卫科, 张万绪

西北大学信息科学与技术学院, 陕西西安 710127

收稿日期:2016-03-16 修回日期:2016-10-20 出版日期:2017-10-25
- 作者简介:
- 周延,男,1988年1月出生,陕西安康人.分别于2010年、2015年在西安电子科技大学获得工学学士、工学博士学位.现为西北大学讲师,主要研究方向为机载雷达信号处理、智能信号处理等.E-mail:yanzhou@nwu.edu.cn;姜博,男,1984年10月出生,陕西西安人.现为西北大学信息科学与技术学院讲师,主要从事航拍观测清晰化技术、图像去雾霾、图像稳像等方面的研究工作.E-mail:jiangbo@nwu.edu.cn
- 基金资助:
- 国家自然科学基金 (No.61373177，No.61503300，No.41601353）

The Space-Time Processing Method Based on the Spatial Decomposition in Airborne MIMO Radar

ZHOU Yan, JIANG Bo, NIE Wei-ke, ZHANG Wan-xu

School of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710127, China

Received:2016-03-16 Revised:2016-10-20 Online:2017-10-25 Published:2017-10-25
- Supported by:
- National Natural Science Foundation of China (No.61373177, No.61503300, No.41601353)

摘要/Abstract

摘要： 相对于传统机载相控阵雷达，应用于机载多输入多输出雷达中的空时自适应处理（MIMO-STAP）技术可以获得杂波抑制和动目标检测能力的大幅提升.但是传统MIMO-STAP所需要的计算量和样本需求量巨大，无法满足实际处理要求.为了解决这一问题，我们提出了一种基于空域多级分解的机载MIMO雷达后多普勒自适应方法.该方法将后多普勒自适应权系数进行分解，使其变为几个短向量的Kronecker乘积，然后利用循环迭代的思想求解自适应权.实验表明该方法具有快速收敛性，在小样本大阵列条件下该方法明显优于传统的后多普勒处理方法.

关键词: 空时自适应处理, 机载MIMO雷达, 杂波抑制, 循环迭代

Abstract: Compared with the traditional airborne phased-array radar,the ability for clutter suppression and moving target detection of space-time adaptive processing in the airborne multiple-input multiple-output radar (MIMO-STAP) can be greatly improved.However,the huge computational cost and training sample requirement limit its practical application.In order to solve this problem,we proposed the post-Doppler adaptive processing method based on the multi-stage spatial decomposition in airborne MIMO radar.This method decomposed the post-Doppler adaptive weight vector into the Kronecker product of several short weight vectors.Then the cyclic iteration was applied to solve the desired weight vector.The simulation experiments showed that this method had the advantage of fast convergence.Its performance is evidently superior to the traditional post-Doppler processing method especially in large-scale antenna array radar.

Key words: space-time adaptive processing (STAP), airborne MIMO radar, clutter suppression, cyclic iteration

中图分类号:

TN957.52

周延, 姜博, 聂卫科, 等. 空域分解的机载MIMO雷达空时处理方法[J]. 电子学报, 2017, 45(10): 2348-2354.

ZHOU Yan, JIANG Bo, NIE Wei-ke, et al. The Space-Time Processing Method Based on the Spatial Decomposition in Airborne MIMO Radar[J]. Acta Electronica Sinica, 2017, 45(10): 2348-2354.

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空域分解的机载MIMO雷达空时处理方法

The Space-Time Processing Method Based on the Spatial Decomposition in Airborne MIMO Radar

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