Source Localization Via Randomly Distributed Sensors

Itsik Bergel1, Yair Noam

  • 1Bar Ilan University

Details

Category

Technical Session: Poster

Theme

Signal Processing for Wireless Communications

Sessions

15:15 - 16:45 | Wed 6 Jul | Pentland A | R11

Localization and tracking in Wireless/UWB networks

Abstract

We present novel lower bounds on the mean-square source-localization error via a network where the sensors are deployed randomly (e.g., scattered from the air). The sensor locations are modeled as a homogenous Poisson point process. We present CRB-type bounds on the expectation of the localization square error, which is not a function of a particular sensor configuration, but rather of the sensor statistics. Thus, it can be evaluated prior to the sensor deployment and provide insights into design issues such as the necessary sensor density. The derived bounds are simple for evaluation, while providing a good prediction of the actual network performance.

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