DOA estimation for different frequency with different angles based on wideband co-prime array

• Published in: Journal of engineering (Stevenage, England) Vol. 2019; no. 21; pp. 7738 - 7741
• Main Authors: Wang, Geng, He, Minghao, Tang, Yuwen, Feng, Mingyue, Han, Jun, Fan, Xikun
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01-11-2019; Wiley
• Subjects: direction-of-arrival estimation; DOA estimation; FGDS; frequency bins; frequency group decision strategy; IET International Radar Conference (IRC 2018); iterative methods; learning (artificial intelligence); minimisation; off-grid sparse learning via iterative minimisation; OGSLIM algorithm; wideband coprime array; wideband direction-of-arrival estimation; wireless communication; iterative methods; wideband direction-of-arrival estimation; frequency group decision strategy; direction-of-arrival estimation; wireless communication; FGDS; DOA estimation; frequency bins; OGSLIM algorithm; minimisation; learning (artificial intelligence); off-grid sparse learning via iterative minimisation; wideband coprime array
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2019.0704

Most of the signals received in the field of wireless communication, radar, and sonar are wideband, so there is an active research on wideband direction-of-arrival (DOA). Many approaches of DOA estimation for different frequency with same angles have already been proposed, such as off-grid sparse learning via iterative minimisation (OGSLIM). Based on the OGSLIM algorithm, this study proposed frequency group decision strategy (FGDS). Based on the different information of the number of signals at different frequency bins, FGDS can obtain the estimation results of DOA at each frequency bin. The results of simulations demonstrate that the proposed algorithm outperforms other reported ones.