High Accuracy Source Localization Based on Parallel Factor Analysis of TDOA in the Cross Correlation Domain

It is challenging to ensure both high accuracy and low complexity when localizing radiation sources. To address this challenge, we propose two novel methods leveraging time difference of arrival (TDOA) measurements. Specifically, we introduce a TDOA estimation method and a direct position determination (DPD) method based on parallel factor (PARAFAC) analysis in the cross-correlation domain. Initially, multiple sensors synchronously capture the source signal, and the cross-correlation function between signals received from a reference sensor and other sensors is calculated. Then, the primary cross-spectrum data undergoes an expansion and integration process to establish the PARAFAC model. Through cross-spectrum expansion, virtual nodes are formed, which further improves the estimation performance. The TDOA estimates for each sensor are obtained by normalizing and extracting the phase from this matrix. Additionally, we introduce a novel DPD method tailored for multipath propagation scenarios. Simulations and real-world measurements demonstrate the superiority and effectiveness of our proposed methods compared with cutting-edge methods.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2025-01-27
DOI
https://doi.org/10.1109/tcomm.2025.3534582
Citations
5
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
7.43

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article

High Accuracy Source Localization Based on Parallel Factor Analysis of TDOA in the Cross Correlation Domain

Fuhui Zhou, Tony Q. S. Quek, Hang Jiang, Naofal Al‐Dhahir et al.
5 citations
IEEE Transactions on Communications
Speech and Audio Processing
7.43
article

High Accuracy Source Localization Based on Parallel Factor Analysis of TDOA in the Cross Correlation Domain

Fuhui Zhou, Tony Q. S. Quek, Hang Jiang, Naofal Al‐Dhahir, Yingying Li, Jianfeng Li, Qihui Wu
article en
5 citations

Abstract

It is challenging to ensure both high accuracy and low complexity when localizing radiation sources. To address this challenge, we propose two novel methods leveraging time difference of arrival (TDOA) measurements. Specifically, we introduce a TDOA estimation method and a direct position determination (DPD) method based on parallel factor (PARAFAC) analysis in the cross-correlation domain. Initially, multiple sensors synchronously capture the source signal, and the cross-correlation function between signals received from a reference sensor and other sensors is calculated. Then, the primary cross-spectrum data undergoes an expansion and integration process to establish the PARAFAC model. Through cross-spectrum expansion, virtual nodes are formed, which further improves the estimation performance. The TDOA estimates for each sensor are obtained by normalizing and extracting the phase from this matrix. Additionally, we introduce a novel DPD method tailored for multipath propagation scenarios. Simulations and real-world measurements demonstrate the superiority and effectiveness of our proposed methods compared with cutting-edge methods.

IEEE Transactions on CommunicationsVol. 73(9)
Singapore University of Technology and Design (SG), The University of Texas at Dallas (US), Ministry of Industry and Information Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 3%
Speech and Audio Processing
7.43
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