| 基于SA-MUSIC理论的联合稀疏恢复STAP算法 |
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| 引用本文： | 王泽涛,段克清,谢文冲,王永良.基于SA-MUSIC理论的联合稀疏恢复STAP算法[J].电子学报,2015,43(5):846-853. |
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| 作者姓名： | 王泽涛 段克清 谢文冲 王永良 |
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| 作者单位： | 1. 国防科学技术大学电子科学与工程学院, 湖南长沙 410073;
2. 空军预警学院, 湖北武汉 430019 |
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| 基金项目： | 国家杰出青年科学基金(No ．60925005)；国家青年科学基金 |
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| 摘 要： | 基于子空间扩展多重信号分类(SA-MUSIC)理论对杂波空时二维谱进行联合稀疏恢复,实现小样本情况下空时自适应处理(STAP)性能的显著提升.首先,提出空时导向矢量相关性模型,利用该模型分析杂波在空时二维平面上的稀疏本质,解释用部分空时导向矢量近似整个杂波子空间的合理性.其次,提出基于SA-MUSIC理论的联合稀疏恢复STAP算法(SA-MUSIC-STAP),该算法仅需极少训练样本便可实现对杂波协方差矩阵的准确估计,并实现有效的杂波抑制.仿真实验验证了SA-MUSIC-STAP算法的有效性.
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| 关 键 词： | 机载雷达 空时自适应处理 杂波抑制 联合稀疏恢复 多观测矢量 |
| 收稿时间： | 2013-12-16 |
A Joint Sparse Recovery STAP Method Based on SA-MUSIC |
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| WANG Ze-tao,DUAN Ke-qing,XIE Wen-chong,WANG Yong-liang.A Joint Sparse Recovery STAP Method Based on SA-MUSIC[J].Acta Electronica Sinica,2015,43(5):846-853. |
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| Authors: | WANG Ze-tao DUAN Ke-qing XIE Wen-chong WANG Yong-liang |
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| Affiliation: | 1. College of Electronic Science and Engineering, NUDT, Changsha, Hunan 410073, China;
2. Air Force Early Warning Academy, Wuhan, Hubei 430019, China |
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| Abstract: | Clutter spectrum in space-time domain is jointly recovered based on subspace-augmented multiple signal classification theory (SA-MUSIC).The performance of space-time adaptive processing (STAP) under small sample size is greatly improved.Firstly,the sparse nature of clutter in space time domain is analyzed using the space-time steering vector correlation model,and the reason of using few space-time steering vectors to represent the whole clutter subspace is given.Secondly,an algorithm named as SA-MUSIC-STAP is proposed to estimate the clutter covariance matrix with much less training samples,then the clutter is effectively suppressed by the new algorithm.Simulation results verified the effectiveness of SA-MUSIC-STAP. |
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| Keywords: | airborne radar space-time adaptive processing clutter suppression joint sparse recovery multiple measurement vector |
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