Likelihood Modelling of the Space Geodesy Facility Laser Ranging Sensor for Bayesian Filtering

Christy Simpson, Andrew Hunter, Sergei Vorgul, Emmanuel D Delande, Jose Franco, Daniel E Clark

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

Abstract

This work analyzes the data output of laser ranging data collected from the SGF (Herstmonceux, UK), and proposes a bespoke likelihood function for its processing in the context of Bayesian filtering. It is then illustrated in a single-target Bayesian filter, performing successfully on simulated and real data, under a variety of noise profiles encountered in typical outputs of the sensor.

Original languageEnglish
Title of host publication2016 Sensor Signal Processing for Defence (SSPD)
PublisherIEEE
ISBN (Electronic)9781509003266
DOIs
Publication statusPublished - 18 Oct 2016
Event6th Conference of the Sensor Signal Processing for Defence 2016 - Edinburgh, United Kingdom
Duration: 22 Sep 201623 Sep 2016

Conference

Conference6th Conference of the Sensor Signal Processing for Defence 2016
CountryUnited Kingdom
CityEdinburgh
Period22/09/1623/09/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics
  • Instrumentation
  • Artificial Intelligence

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  • Cite this

    Simpson, C., Hunter, A., Vorgul, S., Delande, E. D., Franco, J., & Clark, D. E. (2016). Likelihood Modelling of the Space Geodesy Facility Laser Ranging Sensor for Bayesian Filtering. In 2016 Sensor Signal Processing for Defence (SSPD) [7590606] IEEE. https://doi.org/10.1109/SSPD.2016.7590606