| Paper: | SPCOM-L7.3 | ||
| Session: | Wireless Sensor Networks | ||
| Time: | Friday, May 19, 14:40 - 15:00 | ||
| Presentation: | Lecture | ||
| Topic: | Signal Processing for Communication: Distributed and collaborative signal processing | ||
| Title: | SOI-KF: Distributed Kalman Filtering with Low-Cost Communications using the Sign Of Innovations | ||
| Authors: | Alejandro Ribeiro, Georgios Giannakis, Stergios Roumeliotis, University of Minnesota, United States | ||
| Abstract: | We derive and analyze distributed state estimators of dynamical stochastic processes, whereby low communication cost is effected by requiring the transmission of a single bit per observation. Following a Kalman filtering (KF) approach, we develop recursive algorithms for distributed state estimation based on the sign of innovations (SOI). Even though SOI-KF can afford minimal communication overhead, we prove that in terms of performance and complexity it comes very close to the clairvoyant KF which is based on the analog-amplitude observations. Reinforcing our conclusions, we show that the SOI-KF applied to distributed target tracking based on distance only observations yields accurate estimates at low communication cost. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012