Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (1): 81-93.doi: 10.12305/j.issn.1001-506X.2025.01.09

• Sensors and Signal Processing • Previous Articles     Next Articles

Multi-orbit targets ISAR imaging resource allocation algorithm for netted radar based on auction theory

Libing JIANG, Qingwei YANG, Shuyu ZHENG, Zhuang WANG   

  1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
  • Received:2023-03-08 Online:2025-01-21 Published:2025-01-25
  • Contact: Zhuang WANG

Abstract:

Ground based inverse synthetic aperture radar (ISAR) often faces the problem of conflicting imaging tasks due to the presence of multiple spatial targets in the observable space during space target observation tasks, which limits the overall observation efficiency of networked radar. To address the issues, the influence of radar station placement and spatial target orbit parameters on the quality of ISAR imaging is explored firstly. Based on this, a multiple target ISAR imaging resource allocation algorithm for networked radar based on auction theory is proposed. This algorithm combines the constraint of imaging resolution on imaging accumulation angle with the trend of equivalent rotation angular velocity of the target relative to the radar, and introduces auction theory to optimize the selection of radar station location and ISAR imaging arc segment, forming the optimal observation scheme corresponding to the target, radar, and imaging arc segment. The simulation experiment results show that the proposed algorithm can reduce the observation time required for radar networking while ensuring the quality requirements of multi-target ISAR imaging, providing an effective means and technical support for improving the overall observation efficiency of radar networking.

Key words: radar imaging resource allocation, orbit parameter, effective rotational vector, inverse synthetic aperture radar (ISAR) imaging of space target

CLC Number: 

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