Journal of Systems Engineering and Electronics ›› 2024, Vol. 35 ›› Issue (3): 589-598.doi: 10.23619/JSEE.2024.000057

• DEFENCE ELECTRONICS TECHNOLOGY • Previous Articles    

Beamspace maximum likelihood algorithm based on sum and difference beams for elevation estimation

Sheng CHEN(), Yongbo ZHAO(), Yili HU(), Xiaojiao PANG()   

  • Received:2022-07-07 Accepted:2024-01-04 Online:2024-06-18 Published:2024-06-19
  • Contact: Yongbo ZHAO E-mail:842561535@qq.com;ybzhao@xidian.edu.cn;huyili66@126.com;1964230291@qq.com
  • About author:
    CHEN Sheng was born in 1993. He received his B.S. degree from Xidian University, Xi’an, China, in 2017. He is pursuing his Ph.D. with Department of Electrical Engineering, Xidian University. His research interests include array signal processing and low-angle estimation with digital array radar. E-mail: 842561535@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 a professor with the National Laboratory of Radar Signal Processing, Xidian University. His research interests include adaptive signal processing, array signal processing, multiple input multiple output (MIMO) radars, and target tracking. E-mail: ybzhao@xidian.edu.cn

    HU Yili was born in 1994. He received his B.S. degree in signal and information processing from Yangtze University, JingZhou, China, in 2017. He is working toward his Ph.D. degree in the National Laboratory of Radar Signal Processing, Xidian University. His research interests include processing of airborne conformal arrays radar, clutter suppression and multiple input multiple output (MIMO) radar signal processing. E-mail: huyili66@126.com

    PANG Xiaojiao was born in 1993. She received her B.S. degree from Xidian University, Xi’an, China, in 2016. She is 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
  • Supported by:
    This work was supported by the Fund for Foreign Scholars in University Research and Teaching Programs (B18039).

Abstract:

Beamspace super-resolution methods for elevation estimation in multipath environment has attracted significant attention, especially the beamspace maximum likelihood (BML) algorithm. However, the difference beam is rarely used in super-resolution methods, especially in low elevation estimation. The target airspace information in the difference beam is different from the target airspace information in the sum beam. And the use of difference beams does not significantly increase the complexity of the system and algorithms. Thus, this paper applies the difference beam to the beamformer to improve the elevation estimation performance of BML algorithm. And the direction and number of beams can be adjusted according to the actual needs. The theoretical target elevation angle root means square error (RMSE) and the computational complexity of the proposed algorithms are analyzed. Finally, computer simulations and real data processing results demonstrate the effectiveness of the proposed algorithms.

Key words: elevation estimation, beamspace, multipath environment, maximum likelihood