Bayesian Detection of Targets of Unknown Location


Journal Article

In this paper the array detection problem for certain deterministic signals in spatially uncorrelated Gaussian noise is formulated in Bayesian terms and the required likelihood ratios and resulting performance characteristics are obtained. Primary emphasis is on detection of targets of unknown spatial location using a likelihood ratio approach, with the target location treated as a random parameter, rather than an estimator-correlator approach. The tradeoff among array parameters and signal parameters is demonstrated. It is shown that the dominant uncertainty affecting detection performance seems to be that of location when compared with uncertainty on energy and/or phase. Copyright © 1974 by The Institute of Electrical and Electronics Engineers, Inc.

Full Text

Duke Authors

Cited Authors

  • Gallop, MA; Nolte, LW

Published Date

  • January 1, 1974

Published In

Volume / Issue

  • AES-10 / 4

Start / End Page

  • 429 - 435

International Standard Serial Number (ISSN)

  • 0018-9251

Digital Object Identifier (DOI)

  • 10.1109/TAES.1974.307795

Citation Source

  • Scopus