Stochastic boats generated acoustic target signal detection in time-frequency domain

Eric D. Cheng, Massimo Piccardi, Tony Jan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper is devoted to theoretic algorithms development and experimental research of automatic target detection of acoustic signals, especially for boats generated signals. In this paper, an observation space is created by sampling and dividing input analog acoustic signal into multiple frames and each frame is transformed into frequency domain. In the created observation space, a Median Constant False Alarm Rate (MCFAR) and post detection integration algorithms have been proposed for an effective automatic target detection of boat generated acoustic signals, in which a low constant false alarm rate is kept with relative high detection rate. The proposed algorithms have been tested on real boat generated acoustic signals. The statistical analysis and experimental results showed that the proposed algorithm has kept a very low false alarm rate and relatively high detection rate.

Original languageEnglish
Title of host publicationProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology
Pages429-432
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004 - Rome, Italy
Duration: 18 Dec 200421 Dec 2004

Publication series

NameProceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Conference

ConferenceFourth IEEE International Symposium on Signal processing and Information Technology, ISSPIT 2004
Country/TerritoryItaly
CityRome
Period18/12/0421/12/04

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