Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (4): 764-778.doi: 10.23919/JSEE.2021.000066

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Polarization quaternion DOA estimation based on vector MISC array

Shuai SHAO1(), Aijun LIU1,*(), Changjun YU1(), Quanrui ZHAO2()   

  1. 1 School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
    2 Shanghai Radio Equipment Research Institute, Shanghai 201109, China
  • Received:2021-01-29 Online:2021-08-18 Published:2021-09-30
  • Contact: Aijun LIU E-mail:643218186@qq.com;liuaijun@hit.edu.cn;yuchangjun@hit.edu.cn;HIT_zhao@163.com
  • About author:|SHAO Shuai was born in 1993. He received his B.S and M.S. degrees in communication engineering and electronics and communication engineering from Harbin Institute of Technology, Weihai, in 2016 and 2018 respectively. He is currently working toward his Ph.D. degree in information and communication engineering at Harbin Institute of Technology. His past and present research involves high-frequency surface wave radar system array signal processing and signal time-frequency analysis and, more recently, polarization quaternion DOA estimation. E-mail: 643218186@qq.com||LIU Aijun was born in 1971. He received his B.S and M.S. degrees in communication engineering and information and signal processing from Dalian Maritime University in 1995 and 2003 respectively, and his Ph.D. degree in information and communication engineering from Harbin Institute of Technology in 2011. He is an assistant professor at the School of Information and Electrical Engineering, Harbin Institute of Technology, Weihai. His research interests involve high-frequency surface wave radar system design and analysis, array signal processing, and signal time-frequency analysis. E-mail: liuaijun@hit.edu.cn||YU Changjun was born in 1962. He received his B.S. degree in electronic engineering from Harbin Institute of Technology in 1984 and his M.S. and Ph.D. degrees in information and communication engineering from Harbin Engineering University in 1990 and 2010, respectively. He is a professor at the School of Information and Electrical Engineering, Harbin Institute of Technology, Weihai. His research interests involve high-frequency surface wave radar system design and analysis, target detection, estimation and tracing, and ionosphere remote sensing. E-mail: yuchangjun@hit.edu.cn||ZHAO Quanrui was born in 1993. He received his B.S. degree in communication engineering and his M.S. degree in electronics and communication engineering from Harbin Institute of Technology in 2016 and 2020 respectively. He is a signal processing engineer in Shanghai Radio Equipment Research Institute. His research interests involve radar system design and analysis, array signal processing, and precision guidance. E-mail: HIT_zhao@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (62031015)

Abstract:

This paper examines the direction of arrival (DOA) estimation for polarized signals impinging on a sparse vector sensor array which is based on the maximum interelement spacing constraint (MISC). The vector array effectively utilizes the polarization domain information of incident signals, and the quaternion model is adopted for signals polarization characteristic maintenance and computational burden reduction. The features of MISC arrays are crucial to the mutual coupling effects reduction and higher degrees of freedom (DOFs). The quaternion data model based on vector MISC arrays is established, which extends the scalar MISC array into the vector MISC array. Based on the model, a quaternion multiple signal classification (MUSIC) algorithm based on vector MISC arrays is proposed for DOA estimation. The algorithm combines the advantages of the quaternion model and the vector MISC array to enhance the DOA estimation performance. Analytical simulations are performed to certify the capability of the algorithm.

Key words: direction of arrival (DOA), vector sensor array, vector maximum interelement spacing constraint (MISC) array, polarization quaternion model, quaternion multiple signal classification (Q-MUSIC)