Transmission rate allocation in multi-sensor target tracking

M. Chamara Ranasingha, Manohar N. Murthi, Kamal Premaratne, Xingzhe Fan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In a multi-sensor target tracking application running on a shared network, at what bit-rates should the sensors send their measurements to the tracking fusion center? Clearly, the sensors cannot use arbitrary rates in a shared network, and a standard network rate control algorithm may not provide rates amenable to effective target tracking. For Kalman Filter-based multi-sensor target tracking, we derive a utility function that captures the tracking Quality of Service as a function of bit-rate. We incorporate this utility function into a network rate resource allocation framework, deriving a distributed rate control algorithm for a shared network that does not require network re-design. In simulation studies, the new rate-control algorithm engenders much better tracking performance than a standard rate-control method.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages3021-3024
Number of pages4
DOIs
StatePublished - Sep 16 2008
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Kalman filter
  • Target tracking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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