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A reduced dimension multiple signal classification–based direct location algorithm with dense arrays

Author

Listed:
  • Jianfeng Li
  • Gaofeng Zhao
  • Baobao Li
  • Xianpeng Wang
  • Mengxing Huang

Abstract

Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea of dimension reduction, the algorithm avoids multi-dimensional search in spatial domain and attenuation coefficient domain and reduces the search complexity. Simulation results show that the performance of the algorithm is better than the traditional angle of arrival two-step localization algorithm and subspace data fusion direct localization algorithm.

Suggested Citation

  • Jianfeng Li & Gaofeng Zhao & Baobao Li & Xianpeng Wang & Mengxing Huang, 2022. "A reduced dimension multiple signal classification–based direct location algorithm with dense arrays," International Journal of Distributed Sensor Networks, , vol. 18(5), pages 15501329221, May.
    • Handle: RePEc:sae:intdis:v:18:y:2022:i:5:p:15501329221097583
    DOI: 10.1177/15501329221097583
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