| 基于两层压缩感知的频率-角度联合估计方法 |
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| 引用本文： | 魏爽,陶春贵,李莉,蒋德富.基于两层压缩感知的频率-角度联合估计方法[J].上海师范大学学报(自然科学版),2018,47(2):179-185. |
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| 作者姓名： | 魏爽 陶春贵 李莉 蒋德富 |
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| 作者单位： | 上海师范大学信息与机电工程学院;河海大学计算机与信息学院 |
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| 基金项目： | 国家自然科学基金（61401145）；江苏省自然科学基金（BK20140858） |
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| 摘 要： | 介绍了一种基于两层压缩感知的频率/角度联合估计方法,第一层压缩感知算法采用单快拍模型求解方向波数,第二层压缩感知算法利用方向波数形成的参数逆矩阵求解频率参数,以此求得角度.为验证所提方法的性能,利用3路不同频率和角度的信号分别在不同信噪比(SNR)、快拍条件下对信源频率/角度进行估计.仿真实验结果表明:该方法在少快拍条件下可对信源的频率和角度进行精确估计.
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| 关 键 词： | 两层压缩感知 频率估计 角度估计 方向波数 信源定位 |
| 收稿时间： | 2018/2/1 0:00:00 |
Frequency and DOA joint estimation method based on two-layer compressed sensing |
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| Wei Shuang,Tao Chungui,Li Li and Jiang Defu.Frequency and DOA joint estimation method based on two-layer compressed sensing[J].Journal of Shanghai Normal University(Natural Sciences),2018,47(2):179-185. |
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| Authors: | Wei Shuang Tao Chungui Li Li and Jiang Defu |
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| Institution: | The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China;College of Computer and Information, Hohai University, Nanjing 211100, China,College of Computer and Information, Hohai University, Nanjing 211100, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and College of Computer and Information, Hohai University, Nanjing 211100, China |
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| Abstract: | A frequency and angle joint estimation method based on two-layer compressed sensing is introduced.The first layer uses single snapshot model to solve the direction wave number,and the second layer uses the inverse of the parameter matrix to solve the frequencies,so as to obtain angel parameters.In order to verify the performance of the proposed method,signals of three different frequencies and angles were used to estimate the source frequency/angle under different singal noise ratio (SNR) and snapshot conditions.Experiments results show that in the condition of few snapshots,the proposed method can obtain the accurate estimation of the source frequency and angle. |
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| Keywords: | two-layers compressed sensing frequency estimation angel estimation directional wave number source location |
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