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Volume 31Issue 6
Dec. 2022
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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2022> 31(6): 584-594
Guanhua Ding, Jinping Sun, Ying Chen, Juan Yu. Adaptive Sampling for Near Space Hypersonic Gliding Target Tracking[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(6): 584-594. doi: 10.15918/j.jbit1004-0579.2021.103
Citation: Guanhua Ding, Jinping Sun, Ying Chen, Juan Yu. Adaptive Sampling for Near Space Hypersonic Gliding Target Tracking[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(6): 584-594.doi:10.15918/j.jbit1004-0579.2021.103
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Adaptive Sampling for Near Space Hypersonic Gliding Target Tracking

doi:10.15918/j.jbit1004-0579.2021.103
  • 1.

    School of Electronics and Information Engineering, Beihang University, Beijing 100191, China

  • 2.

    Beijing Institute of Radio Measurement, Beijing 100854, China

Funds:The associate editor coordinating the review of this manuscript was Dr. Tiancheng Li.
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  • Author Bio:

    Guanhua Dingwas born in 1998. He received the B.E. degree in electrical and information engineering from Beihang University (BUAA), Beijing, China, in 2020. He is currently pursuing the M.S. degree with the School of Electronic and Information Engineering, BUAA. His research interests include target tracking and radar data processing. E-mail:npeight@buaa.edu.cn

    Jinping Sunreceived the M.S. and Ph.D. degrees from Beihang University (BUAA), Beijing, China, in 1998 and 2001, respectively. He is currently a Professor with the School of Electronic and Information Engineering, BUAA. His research interests include statistical signal processing, high-resolution radar signal processing, target tracking, image understanding, and robust beamforming. E-mail:sunjinping@buaa.edu.cn

    Ying Chenwas born in 1984. In 2006, she received her B.S. degree in communications engineering from Beihang University, Beijing, China. In 2011, she received her Ph.D. from the Graduate School of the Second Academy of China Aerospace Science and Technology Group. Her main research interests include radar data processing, group target detection and tracking, multi- source information fusion. E-mail:michelle_cy@163.com

    Juan Yuwas born in 1988. She received her B.S. degree and M.S. degree from BUAA, Beijing, China, in 2010 and 2013 respectively. She is now an engineer in Beijing Institute of Radio Measurement, Beijing, China. Her major research interests include radar data processing and system resource scheduling. E-mail: txyujuan@yeah.net

  • Corresponding author:sunjinping@buaa.edu.cn
  • Received Date:2021-12-27
  • Rev Recd Date:2022-02-10
  • Accepted Date:2022-03-17
  • Publish Date:2022-12-25
    Abstract
  • For modern phased array radar systems, the adaptive control of the target revisiting time is important for efficient radar resource allocation, especially in maneuvering target tracking applications. This paper presents a novel interactive multiple model (IMM) algorithm optimized for tracking maneuvering near space hypersonic gliding vehicles (NSHGV) with a fast adaptive sampling control logic. The algorithm utilizes the model probabilities to dynamically adjust the revisit time corresponding to NSHGV maneuvers, thus achieving a balance between tracking accuracy and resource consumption. Simulation results on typical NSHGV targets show that the proposed algorithm improves tracking accuracy and resource allocation efficiency compared to other conventional multiple model algorithms.
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