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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Bibliographic Details
Published in:ETRI journal Vol. 45; no. 3; pp. 394 - 403
Main Authors: Qian, Yang, Shi, Xinlei, Zeng, Haowei, Ahmad, Mushtaq
Format: Journal Article
Language:English
Published: 한국전자통신연구원 01.06.2023
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ISSN:1225-6463, 2233-7326
Online Access:Get full text
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Summary: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.
Bibliography:https://doi.org/10.4218/etrij.2022-0001
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.2022-0001