Abstract
A wideband extension of the Optimum Uncertain Field Processor (OUFP) is presented. Combined with Monte Carlo estimation methods, this processor provides a fast, efficient, and robust technique for Matched-Field Processing (MFP). Under a simulated Hudson Canyon environment, a quantitative, probabilistic analysis of the sensitivity of the Optimum Matched-Field Processor (OMFP) to various kinds of environmental mismatch is shown. Similarly, the performance of the OUFP is calculated. Finally, the optimum wideband OUFP is applied to a data set collected from the Hudson Canyon, the results tabulated, and then compared to a standard Bartlett processor. The performance of the optimum wideband OUFP and the suboptimum Bartlett processor are in very good agreement with the performance predicted from simulation results.
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.
