Direct tracking of noncircular sources for multiple arrays via improved unscented particle filter method

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) al...

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Vydáno v:ETRI journal Ročník 45; číslo 3; s. 394 - 403
Hlavní autoři: Qian, Yang, Shi, Xinlei, Zeng, Haowei, Ahmad, Mushtaq
Médium: Journal Article
Jazyk:angličtina
Vydáno: 한국전자통신연구원 01.06.2023
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ISSN:1225-6463, 2233-7326
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Shrnutí: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.
Bibliografie:https://doi.org/10.4218/etrij.2022-0001
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.2022-0001