Journal article
Multiple Source Localization in Wireless Sensor Networks Based on Time of Arrival Measurement
IEEE transactions on signal processing, Vol.62(8), pp.1938-1949
04/2014
DOI: 10.1109/TSP.2014.2304433
Abstract
We investigate the localization of multiple signal sources based on sensors performing time-of-arrival (TOA) measurement in wireless sensor networks. Moving beyond the widely studied single source localization problem, concurrently active multiple sources substantially complicate the problem since anchored sensor nodes are unaware of associations between measured signals and source nodes. At the same time, as the total number of possible source-measurement associations grows exponentially with the number of sensor nodes, it is inefficient to attempt conventional single-source localization algorithm for each possible association in a brute-force manner. In this work, we address this difficult problem from a joint optimization perspective. Specifically, we consider simultaneous estimation of source-measurement associations and the source locations, in addition to finding the initial signal transmission time. This joint optimization problem includes both discrete and continuous variables. We propose an efficient three-step algorithm that progressively simplifies the original problem through convex relaxation and sensible approximations. Our proposed algorithm demonstrates results comparable to a genie-aided method that utilizes known source-measurement associations.
Details
- Title: Subtitle
- Multiple Source Localization in Wireless Sensor Networks Based on Time of Arrival Measurement
- Creators
- Hong ShenZhi DingSoura DasguptaChunming Zhao
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on signal processing, Vol.62(8), pp.1938-1949
- DOI
- 10.1109/TSP.2014.2304433
- ISSN
- 1053-587X
- eISSN
- 1941-0476
- Language
- English
- Date published
- 04/2014
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083294002771
Metrics
5 Record Views