Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (11A): 241100046-9.doi: 10.11896/jsjkx.241100046

• Network & Communication • Previous Articles     Next Articles

Station Deployment Optimization Algorithm for High-precision AOA Positioning

DING Lei1,2, REN Lu1, HOU Xuan1, ZHANG Dongpo2, ZHU Li’na1   

  1. 1 School of Telecommunication Engineering,Xidian University,Xi’an 710071,China
    2 The 36 Research Laboratory of China Electronics Technology Group,Jiaxing,Zhejiang 314033,China
  • Online:2025-11-15 Published:2025-11-10
  • Supported by:
    National Natural Science Foundation of China(62371381).

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Abstract: Aiming at the problems of low iteration efficiency and easy local convergence of the optimized deployment scheme for location of direction-finding station,this paper summarizes the impact of site layout on system positioning performance.Subsequently,based on optimization theory,the paper describes and establishes an AOA positioning optimization layout model,consi-dering constraint factors such as communication network connectivity and system effectiveness in real-world positioning scenarios.By utilizing geometric precision factor values and penalty functions as objective functions for the optimization problem,an improved particle swarm optimization algorithm is employed to solve it.Finally,through theoretical analysis and simulations,this algorithm’s effectiveness is demonstrated.

Key words: Passive positioning, Particle swarm, Station optimization

CLC Number: 

  • TN957
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