电子学报2017，Vol.45Issue(10)：2348-2354,7.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
The Space-Time Processing Method Based on the Spatial Decomposition in Airborne MIMO Radar
摘要
Abstract
Compared with the traditional airbome 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.关键词
空时自适应处理/机载MIMO雷达/杂波抑制/循环迭代Key words
space-time adaptive processing (STAP)/airborne MIMO radar/clutter suppression/cyclic iteration分类
信息技术与安全科学引用本文复制引用
周延,姜博,聂卫科,张万绪..空域分解的机载MIMO雷达空时处理方法[J].电子学报,2017,45(10):2348-2354,7.基金项目
国家自然科学基金(No.61373177,No.61503300,No.41601353) （No.61373177,No.61503300,No.41601353）
