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A dynamic weighted algorithm for multiple radar fusion in an active protection system

Author

Listed:
  • Jinli Wang
  • Haiping Song
  • Riming Chen
  • Yaning Zhang

Abstract

The threat detection system based on short-range radars is an essential part of the active protection system (APS) of armored vehicles. The multi-radar data fusion problem is one of the crucial issues in the APS. Firstly, a general algorithm for multi-radar coordinates transformation is given. Then, based on the weighted fusion model and the trajectory characteristics of targets in the APS, a real-time dynamic weighting factor derivation algorithm is proposed. The algorithm is simulated in a dual-radar threat tracking and ballistic prediction scenario. The results prove the correctness and effectiveness of the algorithm.

Suggested Citation

  • Jinli Wang & Haiping Song & Riming Chen & Yaning Zhang, 2021. "A dynamic weighted algorithm for multiple radar fusion in an active protection system," The Journal of Defense Modeling and Simulation, , vol. 18(4), pages 309-315, October.
    • Handle: RePEc:sae:joudef:v:18:y:2021:i:4:p:309-315
    DOI: 10.1177/1548512919890928
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