Model-based underwater signal processing—The Carey factor

• Published in: The Journal of the Acoustical Society of America 2014-04, Vol.135 (4_Supplement), p.2231-2231
• Main Authors: Candy, James V., Sullivan, Edmund J.
• Format: Article
• Language: English
• ISSN: 0001-4966; 1520-8524
• DOI: 10.1121/1.4877302

The sustained encouragement and belief in the model-based approach to underwater processing has always been one of the favorite topics of Bill Carey's conversation. Not only by his direct encouragement, but also his contributions in the form of well-executed, well-controlled and well-documented experiments in the Hudson Canyon area off of the New Jersey coast that has become known as the best and most complete sets of oceanic data available for signal processors to apply their latest algorithms. It has become affectionately known as the “canonical” oceanic signal generator and often stated by many signal processors that “if your algorithm is not capable of performing well on the Carey Hudson Canyon data, then it is not worthy of pursuing it further.” His experimental work is a major contribution to the underwater processing area. In this paper, we briefly discuss the Hudson Canyon data set and show the performance of a model-based processor that was applied to localize a source using a 23-element hydrophone array in shallow water.