On Energy-Based Acoustic Source Localization for Sensor Networks

In this paper, energy-based localization methods for source localization in sensor networks are examined. The focus is on least-squares-based approaches due to a good tradeoff between performance and complexity. A suite of methods are developed and compared. First, two previously proposed methods (quadratic elimination and one step) are shown to yield the same location estimate for a source. Next, it is shown that, as the errors which perturb the least-squares equations are nonidentically distributed, it is more appropriate to consider weighted least-squares methods, which are observed to yield significant performance gains over the unweighted methods. Finally, a new weighted direct least-squares formulation is presented and shown to outperform the previous methods with much less computational complexity. Unlike the quadratic elimination method, the weighted direct least-squares method is amenable to a correction technique which incorporates the dependence of unknown parameters leading...

• Type: Journal
• Year: 2008
• Where: TSP
• Authors: Chartchai Meesookho, Urbashi Mitra, Shrikanth Narayanan
• Keywords: Energy-based Localization Methods, Quadratic Elimination, TSP 2008, Weighted Direct Least-squares