2D-DOA estimation with spatially separated “long” crossed-dipoles array based on three-way compressive sensing

• Published in: Multidimensional systems and signal processing Vol. 33; no. 4; pp. 1087 - 1104
• Main Authors: Li, Binbin, Zeng, Li, Liu, Weijian, Shi, Junpeng, Zhou, Bilei, Li, Zhihui, Du, Qinglei, Chen, Hui, Tang, Peiqin
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2022; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Circuits and Systems; Dipoles; Direction of arrival; Electrical Engineering; Engineering; Matched pursuit; Mathematical analysis; Parameter estimation; Radar arrays; Sensor arrays; Signal to noise ratio; Signal,Image and Speech Processing; Tensors; Parameter estimation; Parallel factorization decomposition; “Long” crossed-dipoles; Three-way compressive sensing; ESPRIT method; Orthogonal matching tracking

For the angle estimation demand of real-world electromagnetic vector sensor (EMVS) array radar, in this paper we propose a two-dimensional direction of arrival (2D-DOA) estimation method with spatially separated “long” crossed-dipoles array based on three-way compressive sensing. First, the low-dime...