| 应用双线性模型的离格波达角估计方法 |
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| 引用本文： | 王友顺,高童迪,袁正道,丁永春.应用双线性模型的离格波达角估计方法[J].电讯技术,2022,62(4):482-488. |
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| 作者姓名： | 王友顺 高童迪 袁正道 丁永春 |
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| 作者单位： | 河南开放大学 人工智能工程研究中心,郑州450002,河南开放大学 人工智能工程研究中心,郑州450002;郑州大学 信息工程学院,郑州450001,中国船舶集团有限公司第七一三研究所,郑州450001 |
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| 基金项目： | 中国博士后科学基金面上项目(2019M652576);国家自然科学基金资助项目(61901417);河南省科技攻关项目(222102210328,222102210184,212102210421,212102210542);河南省高等学校重点研究课题(20B510005) |
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| 摘 要： | 针对离格波达角估计(Direction of Arrival,DOA)问题,提出了一种基于双线性向量化近似消息传递(Bilinear Vectorization Approximate Message Passing,BAd-VAMP)的解决方法.该方法首先将DOA估计问题建模为双线性模型,利用BAd-VAMP算法进行...
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| 关 键 词： | 离格波达角估计 双线性模型 泰勒展开 稀疏特性 迭代阻尼 |
Off-grid DOA estimation based on bi-linear model |
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| WANG Youshun,GAO Tongdi,YUAN Zhengdao,DING Yongchun.Off-grid DOA estimation based on bi-linear model[J].Telecommunication Engineering,2022,62(4):482-488. |
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| Authors: | WANG Youshun GAO Tongdi YUAN Zhengdao DING Yongchun |
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| Abstract: | A method based on bilinear vectorization approximate message passing(BAd-VAMP) is proposed to estimate the off-grid direction of arrival(DOA) problem.Firstly,the DOA model is modeled as a bilinear model,and the BAd-VAMP algorithm is used for iterative estimation.Secondly,the dimension of the observation matrix is reduced by the same sparse feature of the error vector and incoming signal to reduce the complexity of the iterative algorithm.Finally,a cold/warm restart mechanism based on residual error is proposed to avoid the saddle point of BAd-VAMP algorithm and improve the robustness.The simulation results show that compared with the existing algorithms,the proposed method has tremendous performance gain in the case of fewer snapshots,making it more suitable for fast time-varying scenes such as airborne radar. |
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| Keywords: | off-grid DOA estimation bi-linear model Taylor expansion sparse feature iteration damping |
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