Conference proceeding
Urban source localization based on time of arrival measurement and street information
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2621-2624
03/2012
DOI: 10.1109/ICASSP.2012.6288454
Abstract
In this work, we study the localization of mobile signal emitters using time of arrival (TOA) measurement and additional urban street information. Two algorithms are proposed to improve the localization performance by integrating street information with the TOA measurement. The first algorithm exhaustively searches of all possible road paths. For each possible path, the source location is estimated based a semidefinite programming (SDP) algorithm by minimizing the maximum error measurement between the observed propagation time and the modeled propagation time. Only location on a street that satisfies the minimum mean square error yields estimation output. To reduce complexity, our second joint optimization algorithm combines the two steps together and jointly optimizes the path selection and source location. Numerical results show that both algorithms can improve the localization performance. Our proposed joint optimization approach is more suitable for practical use because of lower complexity and good performance.
Details
- Title: Subtitle
- Urban source localization based on time of arrival measurement and street information
- Creators
- Enyang Xu - University of California, DavisZhi Ding - University of California, DavisS Dasgupta - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2621-2624
- Publisher
- IEEE
- DOI
- 10.1109/ICASSP.2012.6288454
- ISSN
- 1520-6149
- eISSN
- 2379-190X
- Language
- English
- Date published
- 03/2012
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197444402771
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