Sparse spectrum fitting algorithm using signal covariance matrix reconstruction and weighted sparse constraint

• Published in: Multidimensional systems and signal processing Vol. 33; no. 3; pp. 807 - 817
• Main Authors: Wang, Hao, Zhang, Hong, Ma, Qiming
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2022; Springer Nature B.V
• Subjects: Adaptive algorithms; Artificial Intelligence; Circuits and Systems; Covariance matrix; Electrical Engineering; Engineering; Interference; Reconstruction; Signal,Image and Speech Processing; Sparse spectrum fitting; Weighted sparse constraint; Iterative adaptive approach; Signal covariance matrix reconstruction; Direction of arrival (DOA) estimation

Although sparse spectrum fitting algorithm has good multi-target resolution, the performance is decreased under the influence of strong interference. In response to this problem, a sparse spectrum fitting algorithm using signal covariance matrix reconstruction and weighted sparse constraint is propo...