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

被引：0
|
作者：
Zhou Y. [1 ]
Jiang B. [1 ]
Nie W.-K. [1 ]
Zhang W.-X. [1 ]
机构：
[1] School of Information Science and Technology, Northwest University, Xi'an, 710127, Shaanxi
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2017年 / 45卷 / 10期
关键词：
Airborne MIMO radar; Clutter suppression; Cyclic iteration; Space-time adaptive processing (STAP);
D O I：
10.3969/j.issn.0372-2112.2017.10.006
中图分类号：
学科分类号：
摘要：
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. © 2017, Chinese Institute of Electronics. All right reserved.
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页码：2348 / 2354
页数：6
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