A new method for processing passive sonar data

Autor:	David Allwright, Trevor Wood, Irene M. Moroz, Philip Bond, Stephen Long
Rok vydání:	2010
Předmět:	Audio signal Receiver operating characteristic business.industry Wavelet transform computer.software_genre Sonar signal processing Tracking (particle physics) Sonar Domain (software engineering) Computer vision Artificial intelligence business Audio signal processing computer Mathematics
Zdroj:	FUSION
DOI:	10.1109/icif.2010.5711992
Popis:	Processing passive sonar data involves detecting and monitoring tones present in an audio signal. A new method for processing passive sonar data is proposed. The method includes a pre-processing step using Radon and wavelet transforms, which is shown to improve the receiver operating characteristics of the data. After pre-processing, the extraction of continuously present frequencies from the data is treated as a multitarget tracking problem in the frequency-frequency rate domain. Frequency tracks are extracted using the probability hypothesis density filter from the theory of finite set statistics. Results from application of the method to both simulated and real passive sonar data are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1931702e55a5a4b484c06e60b0330bf2 https://doi.org/10.1109/icif.2010.5711992 Zobrazit plný text záznamu