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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Direct tracking of noncircular sources for multiple arrays via improved unscented particle filter method

  • Yang Qian (College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Xinlei Shi (College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Haowei Zeng (College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Mushtaq Ahmad (College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics)
  • Received : 2022.02.03
  • Accepted : 2022.10.21
  • Published : 2023.06.20
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Abstract

Direct tracking problem of moving noncircular sources for multiple arrays is investigated in this study. Here, we propose an improved unscented particle filter (I-UPF) direct tracking method, which combines system proportional symmetry unscented particle filter and Markov Chain Monte Carlo (MCMC) algorithm. Noncircular sources can extend the dimension of sources matrix, and the direct tracking accuracy is improved. This method uses multiple arrays to receive sources. Firstly, set up a direct tracking model through consecutive time and Doppler information. Subsequently, based on the improved unscented particle filter algorithm, the proposed tracking model is to improve the direct tracking accuracy and reduce computational complexity. Simulation results show that the proposed improved unscented particle filter algorithm for noncircular sources has enhanced tracking accuracy than Markov Chain Monte Carlo unscented particle filter algorithm, Markov Chain Monte Carlo extended Kalman particle filter, and two-step tracking method.

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