Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (5): 1158-1170.doi: 10.23919/JSEE.2023.000132

• Advanced Radar Imaging and Intelligent Processing • Previous Articles     Next Articles

Super-resolution parameter estimation of monopulse radar by wide-narrowband joint processing

Tianyi CAI1(), Bo DAN2,*(), Weibo HUANG1   

  1. 1 Sichuan Institute of Aerospace Electronic Equipment, Chengdu 610100, China
    2 Coastal Defense College, Naval Aviation University , Yantai 264001, China
  • Received:2022-09-01 Accepted:2023-09-25 Online:2023-10-18 Published:2023-10-30
  • Contact: Bo DAN;
  • About author:
    CAI Tianyi was born in 1983. He received his Ph.D. degree in science of military logistics and military equipment from Naval Aviation University. He is a senior engineer in Sichuan Institute of Aerospace Electronic Equipment. His research interest is radar signal processing. E-mail:

    DAN Bo was born in 1985. He received his Ph.D. degree in information and communication engineering from Naval Aviation University. He is a lecturer in Coastal Defense College of Naval Aviation University. His research interests are artificial intelligence and machine learning. E-mail:

    HUANG Weibo was born in 1972. He received his Master ’s degree in business administration from University of South Australia. He is a senior engineer in Sichuan Institute of Aerospace Electronic Equipment. His research interests are radar system design and signal processing. E-mail: wuhuangac


The angular resolution of radar is of crucial significance to its tracking performance. In this paper, a super-resolution parameter estimation algorithm based on wide-narrowband joint processing is proposed to improve the angular resolution of wideband monopulse radar. The range cells containing resolvable scattering points are detected in the wideband mode, and these range cells are adopted to estimate part of the target parameters by algorithms of low computational requirement. Then, the likelihood function of the echo is constructed in the narrow-band mode to estimate the rest of the parameters, and the parameters estimated in the wideband mode are employed to reduce computation and enhance estimation accuracy. Simulation results demonstrate that the proposed algorithm has higher estimation accuracy and lower computational complexity than the current algorithm and can avoid the risk of model mismatch.

Key words: monopulse radar, super-resolution, wide-narrow band processing, parameter estimation