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A Knowledge-Aided Wald Detector for Target Detection in Sea Clutter

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new knowledge-Aided Wald detector is proposed in this paper to deal with the target detection under the inhomogeneous sea clutter. Aim to the scenario of dynamic sea clutter, the proposed detector updates the covariance matrix of background by comprehensive use of the prior information matrix and the covariance matrix. At the same time, the morphological processing is introduced to obtain the final detection result. The experimental results show that the proposed knowledge-Aided Wald detector can achieve better detection performance than KA-Wald detector under the inhomogeneous sea clutter.

Original languageEnglish
Title of host publicationICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123110
DOIs
StatePublished - Oct 2019
Event8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019 - Chengdu, China
Duration: 23 Oct 201926 Oct 2019

Publication series

NameICCAIS 2019 - 8th International Conference on Control, Automation and Information Sciences

Conference

Conference8th International Conference on Control, Automation and Information Sciences, ICCAIS 2019
Country/TerritoryChina
CityChengdu
Period23/10/1926/10/19

Keywords

  • knowledge-Aided
  • sea clutter
  • target detection

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