Direct Position Determination Based on Joint Spatial-Temporal PARAFAC Decomposition

Qing Liu, Jiangwen Zhou, Jian Xie, Yanyun Gong, Ling Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the direct position determination (DPD) problem employing both direction of arrival (DOA) and time of arrival (TOA). We propose a joint spatial-temporal processing framework with multiple base stations to intercept the transmitted signal synchronously. Moreover, the PARAllel FACtor (PARAFAC) decomposition is explored to estimate the spatial-temporal manifold matrix and thereafter generate the targets’ position. In addition, numerical examples are analysed to demonstrate the effectiveness of the proposed method. The results indicate that the proposed method has superior performance, especially in the low signal-to-noise ratio (SNR) scenarios.

Original languageEnglish
Title of host publication2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-91
Number of pages2
ISBN (Electronic)9789463968119
DOIs
StatePublished - 2024
Event2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024 - Florence, Italy
Duration: 14 Jul 202419 Jul 2024

Publication series

Name2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024 - Proceedings

Conference

Conference2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024
Country/TerritoryItaly
CityFlorence
Period14/07/2419/07/24

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