Source localization for underwater acoustics using esprit algorithm

Distributed source localization using ESPRIT algorithm

A new algorithm based on ESPRIT is proposed for the estimation of central angle and angular extension of distributed sources. The central angles are estimated using TLS-ESPRIT for both incoherently distributed (ID) and coherently distributed (CD) sources. For CD sources, the extension width is estimated by constructing a one-dimensional (1-D) distributed source parameter estimator (DSPE) spectr...

1 Extended Source Localization using the ESPRIT Algorithm

A new approach to parametric localization of a distributed source is proposed. This method is based 071 the ESPRIT Algorithm. the Central angle and the angular extension of an incoherently distributed source are estimated. This algorithm has a low computational complex­ ity. The method does not require array calibration

Real-time Weather Monitoring Using Underwater Acoustics

Acoustic rain gauges have long been espoused as a possible means of monitoring wind and rainfall in regions far from land-based measurements. The rapid provision of data from such systems could contribute to weather forecasting. This paper provides an overview of a recent equipment trial off Galway, during which wind speeds in excess of 30m s -1 were encountered. The deployment also tested the ...

Multi-vehicle Dynamic Pursuit Using Underwater Acoustics

Marine robots communicating wirelessly is an increasingly attractive means for observing and monitoring in the ocean, but acoustic communication remains a major impediment to real-time control. In this paper we address through experiments the capability of acoustics to sustain highly dynamic, multi-agent missions, in particular range-only pursuit in a challenging shallow-water environment. We p...

Array Processing: Underwater Acoustic Source Localization