A method based on Chinese remainder theorem with all phase DFT for DOA estimation in sparse array

doi:10.21629/JSEE.2020.01.01

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (1): 1-11.doi: 10.21629/JSEE.2020.01.01

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A method based on Chinese remainder theorem with all phase DFT for DOA estimation in sparse array

Chenghu CAO¹(), Yongbo ZHAO^1,^2,*(), Xiaojiao PANG¹(), Baoqing XU¹(), Sheng CHEN¹()

¹ National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
² Information Sensing and Understanding, Xidian University, Xi'an 710071, China

Received:2019-01-21 Online:2020-02-20 Published:2020-02-25
Contact: Yongbo ZHAO E-mail:764161366@qq.com;ybzhao@xidian.edu.cn;1964230291@qq.com;835569607@qq.com;842561535@qq.com
About author:CAO Chenghu was born in 1987. He received his M.E. degree in signal processing from Fuzhou University, Fuzhou, China in 2015. He is currently working towards his Ph.D. degree with the Department of Electrical Engineering, Xidian University. His research interests are parameter estimation and multi-target detect and tracking. E-mail: 764161366@qq.com|ZHAO Yongbo was born in 1972. He received his M.E. and Ph.D degrees in electrical engineering from Xidian University, Xi'an, China, in 1997 and 2000, respectively. He is currently a professor with the National Laboratory of Radar Signal Processing, Xidian University. His research interests include adaptive signal processing, array signal processing, MIMO radars, and target tracking. E-mail: ybzhao@xidian.edu.cn|PANG Xiaojiao was born in 1993. She received her B.S. degree from Xidian University, Xi'an, China. She is currently pursuing her Ph.D. degree with Department of Electrical Engineering, Xidian University. Her research interests are space time adaptive processing and compress scene. E-mail: 1964230291@qq.com|XU Baoqing was born in 1992. He received his B.S. degree from Qingdao Technological University, Qingdao, China, in 2014. He is currently pursuing his Ph.D. degree with signal processing in Department of Electrical Engineering, Xidian University. His research interests include parameter estimation and adaptive signal processing. E-mail: 835569607@qq.com|CHEN Sheng was born in 1993. He received his B.E. degree from Xidian University, Xi'an, China, in 2017. Currently he is pursuing his Ph.D. degree in electrical engineering at Xidian University. His current research interests include measure height on Mibo radar. E-mail: 842561535@qq.com
Supported by:
the Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project)(B18039);This work was supported by the Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project) (B18039)

Abstract

Abstract:

This paper takes further insight into the sparse geometry which offers a larger array aperture than uniform linear array (ULA) with the same number of physical sensors. An efficient method based on closed-form robust Chinese remainder theorem (CFRCRT) is presented to estimate the direction of arrival (DOA) from their wrapped phase with permissible errors. The proposed algorithm has significantly less computational complexity than the searching method while maintaining similar estimation precision. Furthermore, we combine all phase discrete Fourier transfer (APDFT) and the CFRCRT algorithm to achieve a considerably high DOA estimation precision. Both the theoretical analysis and simulation results demonstrate that the proposed algorithm has a higher estimation precision as well as lower computation complexity.

Key words: direction of arrival (DOA), wrapped phase, closed-form robust Chinese remainder theorem (CFRCRT), all phase discrete Fourier transfer (APDFT)

Chenghu CAO, Yongbo ZHAO, Xiaojiao PANG, Baoqing XU, Sheng CHEN. A method based on Chinese remainder theorem with all phase DFT for DOA estimation in sparse array[J]. Journal of Systems Engineering and Electronics, 2020, 31(1): 1-11.

Figures/Tables 11

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References 35

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A method based on Chinese remainder theorem with all phase DFT for DOA estimation in sparse array

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