Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (6): 1490-1500.doi: 10.23919/JSEE.2023.000048

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Joint polarization and DOA estimation based on improved maximum likelihood estimator and performance analysis for conformal array

Shili SUN(), Shuai LIU(), Jun WANG(), Fenggang YAN(), Ming JIN()   

  1. 1 School of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, China
  • Received:2021-08-11 Online:2023-12-18 Published:2023-12-29
  • Contact: Shuai LIU E-mail:sunshili12345678@163.com;liu_shuai_boy@163.com;hitwangjun@126.com;yfglion@163.com;jinming0987@163.com
  • About author:
    SUN Shili was born in 1998. He received his B.E. degree in electronic information engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2020. He is pursuing his M.S. degree in the School of Information Science and Engineering, HIT, Weihai, China. His main research interests are array signal processing and direction of arrival estimation of conformal array. E-mail: sunshili12345678@163.com

    LIU Shuai was born in 1980. He received his B.E. and M.S. degrees from Northwestern Polytechnical University, China, in 2002 and 2005, respectively, and Ph.D. degree in information and communication engineering from Harbin Institute of Technology (HIT), Weihai, China, in 2013. Since 2013, he has been an associate professor of the School of Information Science and Engineering, HIT, Weihai, China. His current research interests are robust adaptive beamforming, conformal array, and polarization sensitive array signal processing. E-mail: liu_shuai_boy@163.com

    WANG Jun was born in 1976. He received his Ph.D. degree in information and communication engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2014. Since 2015, he has been an associate professor of the School of Information Science and Engineering, HIT, Weihai, China. His current research interests mainly focus on radar signal processing. E-mail: hitwangjun@126.com

    YAN Fenggang was born in 1983. He received his B.E. degree from Xi ’an Jiaotong University, Xi’an, China, in 2005, M.S. degree from the Graduate School of Chinese Academy of Science, Bejing, China, in 2008, and Ph.D. degree from Harbin Institute of Technology (HIT), Harbin, China, in 2014, in information and communication engineering. From July 2008 to March 2011, he was a research associate with the 5th Research Institute of China Aerospace Science and Technology Corporation. Since January 2021, he has been a professor of the School of Information Science and Engineering, HIT, Weihai, China. His current research interests include array signal processing and statistical performance analysis. E-mail: yfglion@163.com

    JIN Ming was born in 1968. He received his B.E., M.S., and Ph.D. degrees in information and communication engineering from Harbin Institute of Technology (HIT), China, in 1990, 1998, and 2004, respectively. From 1998 to 2004, he was with the Department of Electronics Information Engineering, HIT. Since 2006, he has been a professor of the School of Information Science and Engineering, HIT, Weihai, China. His current research interests are array signal processing, parallel signal processing, and radar polarimetry. E-mail: jinming0987@163.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (62071144; 61971159; 61871149).

Abstract:

The conformal array can make full use of the aperture, save space, meet the requirements of aerodynamics, and is sensitive to polarization information. It has broad application prospects in military, aerospace, and communication fields. The joint polarization and direction-of-arrival (DOA) estimation based on the conformal array and the theoretical analysis of its parameter estimation performance are the key factors to promote the engineering application of the conformal array. To solve these problems, this paper establishes the wave field signal model of the conformal array. Then, for the case of a single target, the cost function of the maximum likelihood (ML) estimator is rewritten with Rayleigh quotient from a problem of maximizing the ratio of quadratic forms into those of minimizing quadratic forms. On this basis, rapid parameter estimation is achieved with the idea of manifold separation technology (MST). Compared with the modified variable projection (MVP) algorithm, it reduces the computational complexity and improves the parameter estimation performance. Meanwhile, the MST is used to solve the partial derivative of the steering vector. Then, the theoretical performance of ML, the multiple signal classification (MUSIC) estimator and Cramer-Rao bound (CRB) based on the conformal array are derived respectively, which provides theoretical foundation for the engineering application of the conformal array. Finally, the simulation experiment verifies the effectiveness of the proposed method.

Key words: conformal array, maximum likelihood (ML) estimator, manifold separation technology (MST), parameter estimation, Cramer-Rao bound (CRB)