| 基于先验知识的广义旁瓣对消器STAP |
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| 引用本文： | 唐斌,吴宏刚,陈客松,杨晓波.基于先验知识的广义旁瓣对消器STAP[J].重庆邮电大学学报(自然科学版),2016,28(1):17-23. |
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| 作者姓名： | 唐斌 吴宏刚 陈客松 杨晓波 |
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| 作者单位： | 1. 电子科技大学 电子工程学院，成都 611731; 成都航空职业技术学院 航空电子工程系，成都 610100;2. 中国民用航空总局第二研究所,成都,610041;3. 电子科技大学 电子工程学院,成都,611731 |
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| 基金项目： | 国家自然科学基金(U1433129);中国博士后科学基金面上资助项目(2012M511919);四川省教育厅重点资助项目(14ZA0307,13ZA0050) |
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| 摘 要： | 空时自适应处理（space-time adaptive processing，STAP）算法的运算量与处理性能构成了一对矛盾。利用广义旁瓣对消器（generalized sidelobe canceller，GSC）形式的处理器结构，提出一种基于先验知识的 STAP 算法以解决该问题。该算法使用相控阵雷达系统参数以及阵列几何模型等先验知识来构建空时杂波的匹配矩阵，并计算空时多约束导引矢量，实现对 STAP 算法的自适应加权初始化。该算法的优点是无需协方差矩阵求逆从而使处理速度得到加快。仿真实验表明该算法的处理性能未受影响，而收敛速度则明显提高。
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| 关 键 词： | 空时自适应处理 先验知识 协方差矩阵 广义旁瓣对消器 |
| 收稿时间： | 4/1/2015 12:00:00 AM |
| 修稿时间： | 2016/9/28 0:00:00 |
GSC STAP based on a prior knowledge |
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| TANG Bin,WU Honggang,CHEN Kesong and YANG Xiaobo.GSC STAP based on a prior knowledge[J].Journal of Chongqing University of Posts and Telecommunications,2016,28(1):17-23. |
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| Authors: | TANG Bin WU Honggang CHEN Kesong and YANG Xiaobo |
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| Affiliation: | School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China;Department of Electronic Engineering,Chengdu Aeronautic Polytechnic,Chengdu 610100,P.R.China,The Second Research Inst.of CAAC,Chengdu 610041,P.R.China;,School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China and School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China |
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| Abstract: | The computational burden and performance of space-time adaptive processing(STAP)have formed a realistic contradiction.A new STAP approach based on a prior knowledge using the generalized sidelobe canceller (GSC) was present to solve the above problem.The new approach employed a prior knowledge of the parameters of phased array radar system and geometry model in order to construct space-time clutter matched vector and matrix.Then space-time multiple-constraint steering vector was computed to initialize the adaptive weight vector of STAP.The novel STAP avoided the covariance matrix inverse in order to obtain fast speed.Finally,the simulated results showed that the method can greatly speed up the convergence with no reduction of performance. |
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| Keywords: | space-time adaptive processing a prior knowledge covariance matrix generalized sidelobe canceller |
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