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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v78.i3.30
pages 221-228


W. Hu
Wenzhou Vocational and Technical College, Chashan higher Education Park, Wenzhou 325035, Prov. Zhejiang, P.R. of China
L. Mao
Southwest China Research Institute of Electronic Equipment, Rd. 496 Yingkang West, Jinniu District, Chengdu 610036, Prov. Zhejiang , P.R. of China
F. Lu
Harbin Technician College, Limin West Eighth St., Hulan District, Harbin 150001, China
Q. Guo
Harbin Engineering University, Rd. Nantong 145, Harbin 150001, Prov. Heilongjiang, P.R. of China
Y. Zheng
Qingdao University, Rd. Ningxia 308, Qingdao 266071, Prov. Shandong, P.R. of China
Y. Zhao
Harbin Engineering University, Rd. Nantong 145, Harbin 150001, Prov. Heilongjiang, P.R. of China
S. N. Shulga
V. Karazin National University of Kharkiv, 4 Svobody Sq., Kharkiv 61022, Ukraine


Recent technology advances have shown that compressive sensing (CS) has excellent performance in the direction of arrival (DOA) estimation when the size of data sets is sufficiently less. Nevertheless, when the targets are in the underwater, it is difficult to obtain accurate DOA estimation due to multipath interference which destroy the channel scarcity. Therefore, while aiming for using multipath interference in the underwater, an improved DOA estimation method for underwater targets is proposed. In this paper, the time reversal (TR) theory is introduced into the DOA estimation based on CS. The received signal of sonar sensors is transmitted to the sea again after being time-reversed. The simulation results show that the proposed algorithm TRCS suppresses the clutter caused by multipath distortion and improves the DOA estimation performance in underwater environment significantly.