Recursive Estimation with Uncertain Observations in a Multisensor Environment

R. K. Varshney, P. K. Varshney

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

There is increasing interest in simultaneously employing multiple sensors in surveillance and search systems. The paper treats the recursive estimation problem with uncertain observations when multiple sensors are used. Discrete-time results are obtained when the observations contain the signal to be estimated with probability one. These results are then extended to the case when the observations may not contain the signal with probability one. The case of partially uncertain observations is also considered.

Original languageEnglish (US)
Pages (from-to)527-533
Number of pages7
JournalIEE Proceedings F: Communications Radar and Signal Processing
Volume133
Issue number6
DOIs
StatePublished - Jan 1 1986
Externally publishedYes

Keywords

  • Information and communication theory
  • Radar and radionavigation
  • Signal processing

ASJC Scopus subject areas

  • Signal Processing
  • Engineering(all)

Fingerprint Dive into the research topics of 'Recursive Estimation with Uncertain Observations in a Multisensor Environment'. Together they form a unique fingerprint.

  • Cite this