Analysis of likelihood approximations for bearings-only measurements

Author

Horst, Julian

Author_Institution

Dept. Sensor Data & Inf. Fusion, Fraunhofer FKIE, Wachtberg, Germany

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

8

Abstract

This paper provides an analysis of likelihood approximations for bearings-only measurements. By application of Streit´s likelihood function decomposition that provides a likelihood which is linear in target state, Gaussian mixture likelihood approximations for bearings-only measurements based on the work of Musicki and Kronhamn are derived. They only differ in the choice of weights. An analysis as well as simulations show that Musicki´s approach provides better estimation results for distant targets, whereas Kronhamn´s approach is advantageous for nearby targets.

Keywords

Gaussian processes; approximation theory; direction-of-arrival estimation; maximum likelihood estimation; mixture models; Gaussian mixture likelihood approximation; Kronhamn approach; Musicki´s approach; Streit´s likelihood function decomposition; bearing only measurement; Analytical models; Approximation methods; Kalman filters; Probability density function; Radar tracking; Target tracking; Zirconium; Gaussian mixture; Gaussian sum; Likelihood approximation; bearings-only measurements; target motion analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6916178