Robust adaptive matched field processing with environmental uncertainty

Kunde Yang, Yuanliang Ma, Zhongbing Zhang, Shixin Zou

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The main challenges on detection and localization of quiet targets in littoral regions for passive sonar are the complicated acoustic propagation and the prevalence of loud ship interference on the surface. Adaptive matched field processing (AMFP) can provide the ability to null surface interference, but the mismatch between the computed and actual array steering vectors due to environment uncertainty, and the motion of both target and interference can result in loss of array gain significantly. To address the problem of environmental mismatch and target motion, a robust motion compensation algorithm and a system scheme for adaptive matched field processing have been developed. Both numerical simulation and analysis of experimental data demonstrated that the robust AMFP scheme could suppress surface loud interference and improve the detection performance for underwater weak moving target in complex shallow water.

Original languageEnglish
Pages (from-to)255-262
Number of pages8
JournalShengxue Xuebao/Acta Acustica
Volume31
Issue number3
StatePublished - May 2006

Fingerprint

Dive into the research topics of 'Robust adaptive matched field processing with environmental uncertainty'. Together they form a unique fingerprint.

Cite this