Target tracking using irregularly spaced detectors and a continuous-state Viterbi Algorithm

C. Champlin, Darryl Morrell

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

3 Scopus citations


The primary contribution of this paper is the application of the CSVA, a recently developed algorithm for MAP state sequence estimation, to the problem of tracking a target constrained to two dimensional movement using detections from a field of stationary, arbitrarily located, identical sensors. Models for target motion and detector performance are developed for this problem, providing a system model to which the MAP estimator is applied to create a target trajectory estimator. The performance of the MAP target trajectory estimator is illustrated through simulation.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
Number of pages5
StatePublished - 2000
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: Oct 29 2000Nov 1 2000


Other34th Asilomar Conference
Country/TerritoryUnited States
CityPacific Grove, CA

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering


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