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

doi:10.1109/SSPD.2016.7590606

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 proceeding › Conference 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 language	English
Title of host publication	2016 Sensor Signal Processing for Defence (SSPD)
Publisher	IEEE
ISBN (Electronic)	9781509003266
DOIs	https://doi.org/10.1109/SSPD.2016.7590606
Publication status	Published - 18 Oct 2016
Event	6th Conference of the Sensor Signal Processing for Defence 2016 - Edinburgh, United Kingdom Duration: 22 Sept 2016 → 23 Sept 2016

Conference

Conference	6th Conference of the Sensor Signal Processing for Defence 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	22/09/16 → 23/09/16

ASJC Scopus subject areas

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

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10.1109/SSPD.2016.7590606

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title = "Likelihood Modelling of the Space Geodesy Facility Laser Ranging Sensor for Bayesian Filtering",

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.",

author = "Christy Simpson and Andrew Hunter and Sergei Vorgul and Delande, \{Emmanuel D\} and Jose Franco and Clark, \{Daniel E\}",

year = "2016",

month = oct,

day = "18",

doi = "10.1109/SSPD.2016.7590606",

language = "English",

booktitle = "2016 Sensor Signal Processing for Defence (SSPD)",

publisher = "IEEE",

address = "United States",

note = "6th Conference of the Sensor Signal Processing for Defence 2016 ; Conference date: 22-09-2016 Through 23-09-2016",

}

Simpson, C, Hunter, A, Vorgul, S, Delande, ED, Franco, J & Clark, DE 2016, Likelihood Modelling of the Space Geodesy Facility Laser Ranging Sensor for Bayesian Filtering. in 2016 Sensor Signal Processing for Defence (SSPD)., 7590606, IEEE, 6th Conference of the Sensor Signal Processing for Defence 2016, Edinburgh, United Kingdom, 22/09/16. https://doi.org/10.1109/SSPD.2016.7590606

TY - GEN

T1 - Likelihood Modelling of the Space Geodesy Facility Laser Ranging Sensor for Bayesian Filtering

AU - Simpson, Christy

AU - Hunter, Andrew

AU - Vorgul, Sergei

AU - Delande, Emmanuel D

AU - Franco, Jose

AU - Clark, Daniel E

PY - 2016/10/18

Y1 - 2016/10/18

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85009781685

U2 - 10.1109/SSPD.2016.7590606

DO - 10.1109/SSPD.2016.7590606

M3 - Conference contribution

AN - SCOPUS:85009781685

BT - 2016 Sensor Signal Processing for Defence (SSPD)

PB - IEEE

T2 - 6th Conference of the Sensor Signal Processing for Defence 2016

Y2 - 22 September 2016 through 23 September 2016

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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