Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation
Document Type
Conference Proceeding
Date of Original Version
1-1-2023
Abstract
This paper develops computationally efficient algorithms for the analysis of acoustic data to localize a target through improved angle of arrival estimation. The passive target localization problem has a wide range of applications in wireless communication, navigation, acoustic sensor networks, indoor localization, to name a few. We have focused on novel formulations and solution methods for target localization using Time Differences of Arrival (TDOA) among distinct pairs of passive sensor nodes in an acoustic sensor network with known sensor positions.
Publication Title, e.g., Journal
2023 26th International Conference on Information Fusion, FUSION 2023
Citation/Publisher Attribution
Norton, Chris, Ryan Harvey, James Miller, Peter Willett, Lingyi Zhang, and Krishna Pattipati. "Computational Algorithms for Acoustic Signals Direction of Arrival and Sound Speed Estimation." 2023 26th International Conference on Information Fusion, FUSION 2023 (2023). doi: 10.23919/FUSION52260.2023.10224084.