太赫兹科学与电子信息学报2024，Vol.22Issue(3)：345-352,8.DOI:10.11805/TKYDA2022033
稀疏L型阵中基于压缩感知的角度估计方法
Angle estimation method based on compressed sensing in sparse L-shaped array
摘要
Abstract
A two-level Nested array is employed to construct a sparse L-shaped array.For this array,an angle estimation method based on compressed sensing is proposed.This method calculates the autocorrelation covariance matrix of the received data and quantizes it,and then reorders and removes the redundancy to obtain the incidence angle information of the virtual array.The length of the virtual array is much larger than that of the actual physical array,so compared with the uniform L-shaped array with the same physical array element,the array aperture and degree of freedom have been greatly improved.Finally,the orthogonal matching pursuit technique is adopted to solve the l1 norm constraint problem of the virtual array.Computer simulation shows that the proposed algorithm has higher source resolution and better estimation performance under the conditions of high signal-to-noise ratio,high snapshot number and large angle interval.关键词
稀疏L型阵/虚拟阵列/压缩感知/正交匹配追踪算法Key words
sparse L-matrix/virtual array/compressed sensing/orthogonal matching pursuit algorithm分类
信息技术与安全科学引用本文复制引用
苏龙,谷绍湖,邓桂萍..稀疏L型阵中基于压缩感知的角度估计方法[J].太赫兹科学与电子信息学报,2024,22(3):345-352,8.基金项目
湖南省自然科学基金资助项目(2020JJ7083) （2020JJ7083）
