Abstract
Compared with conventional Bartlett matched field processing, adaptive matched field processing (AMFP) provides the ability to null noises and interferences, but the mismatch between the computed and actual array steering vectors due to environment uncertainties will lead to significant decrease of array gain. In addition, the motion of targets and interferences also influences the performance of AMFP. 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 experimental data analysis demonstrate that the robust AMFP scheme could suppress surface loud interferences and improve the detection performance for underwater weak moving targets in complex shallow water
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
