Jul 11, 2025
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Air & Space Defense  2025, Vol. 8 Issue (2): 58-65    DOI:
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Multi-Missile Cooperative Passive Localization Algorithm Based on IMM-SRCKF for Maneuvering Targets
ZHANG Yuge1, GENG Jianqiang2, YANG Guangyu3, ZHU Supeng1, HOU Zhenqian2, FU Wenxing4
1. School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China; 2. Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China; 3. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China; 4. Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China
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Abstract  A multi-missile cooperative passive localisation algorithm was proposed to address air manoeuvring targets' localisation and tracking problem based on the interacting multiple models and square root cubature Kalman filter (IMM-SRCKF). First, the movement of the manoeuvring target was analysed, and its equations were determined. Then, the state-space model of the multi-missile cooperative scenario was established, and the passive localisation algorithm was designed as follows. The square root cubature Kalman filter was used to improve the localisation accuracy of the algorithm and keep the covariance matrix positively characterised. The interacting multiple model algorithm resolved the filter divergence problem caused by the target model mismatch. The simulation results show that the IMM-SRCKF algorithm can effectively utilise the measurements of various missiles to accomplish cooperative passive localisation of manoeuvring targets with good positioning accuracy and robustness.
Key wordsmulti-missile coordination      passive localization      maneuvering targets      square root cubature Kalman filter (SRCKF)      interacting multiple model (IMM)     
Received: 09 July 2024      Published: 23 May 2025
ZTFLH:  V 249  
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