Skip to main navigation Skip to search Skip to main content

Recursive LMMSE filtering for target tracking with range and direction cosine measurements

  • University of New Orleans

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

Due to the nonlinear relationship between Cartesian coordinates and range-direction-cosine coordinates, target tracking of state described in Cartesian coordinates with range and direction cosine measurements is a nonlinear filtering problem. Measurement conversion based Kalman filter available for this type of problem has some serious drawbacks. Depending on whether measurement of the third direction cosine is directly available, two recursive linear minimum mean-squared error (LMMSE) filters for target tracking with range and direction cosine measurements are developed in this paper. Illustrative numerical examples show that in terms of credibility and accuracy, the proposed filters should be preferred.

Original languageEnglish
Title of host publication13th Conference on Information Fusion, Fusion 2010
StatePublished - 2010
Externally publishedYes
Event13th Conference on Information Fusion, Fusion 2010 - Edinburgh, United Kingdom
Duration: 26 Jul 2010 → 29 Jul 2010

Publication series

Name13th Conference on Information Fusion, Fusion 2010

Conference

Conference13th Conference on Information Fusion, Fusion 2010
Country/TerritoryUnited Kingdom
CityEdinburgh
Period26/07/10 → 29/07/10

Keywords

  • Direction cosine
  • LMMSE
  • Nonlinear filtering
  • Range
  • Target tracking

Fingerprint

Dive into the research topics of 'Recursive LMMSE filtering for target tracking with range and direction cosine measurements'. Together they form a unique fingerprint.

Cite this