Measurement preprocessing approach for target tracking in a cluttered environment

T. C. Wang, P. K. Varshney

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.

Original languageEnglish (US)
Pages (from-to)151-158
Number of pages8
JournalIEE Proceedings: Radar, Sonar and Navigation
Volume141
Issue number3
DOIs
StatePublished - Jun 1 1994

ASJC Scopus subject areas

  • Computer Networks and Communications

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