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DOA Tracking for Coherently Distributed Sources with Particle Filter

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Abstract

In this work, an efficient direction of arrival (DOA) tracking method for coherently distributed sources is proposed. The central DOA and angle spread are estimated by the proposed method with a particle filter at each snapshot. The spectrum calculated by the distributed source parameter estimator (DSPE) is used as a pseudo-likelihood function for particle updating, which enables the particle filter to process sensor signals directly without estimating the source amplitude. The proposed method is compared with the total least square estimating signal parameter via rotational invariance technique and the fast implementation of a power iteration subspace updating (FAPI-TLS-ESPRIT). The proposed method is verified by Monte Carlo simulations, and simulation results show that the proposed method can achieve an excellent DOA tracking performance and outperforms the FAPI-TLS-ESPRIT method. In addition, the proposed method can simultaneously estimate the central DOA and angle spread.

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Acknowledgements

This work was supported in part by the Fundamental Research Funds for Central Universities of the CAUC (Grant No. 3122021066).

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TZ and RW conceived and designed the study. TZ performed the experiments and wrote the paper. HL and LY reviewed and edited the manuscript.

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Correspondence to Tao Zhang.

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I am Tao Zhang and I confirm that the manuscript entitled “DOA Tracking for Coherently Distributed Sources with Particle Filter”, submitted to the journal Wireless Personal Communications, is original and has not been published elsewhere, nor under consideration for publication elsewhere.

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Zhang, T., Li, H., Yang, L. et al. DOA Tracking for Coherently Distributed Sources with Particle Filter. Wireless Pers Commun 121, 2011–2027 (2021). https://doi.org/10.1007/s11277-021-08807-3

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