Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm

Eric Dahai Cheng, Massimo Piccardi, Tony Jan

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

Abstract

In this paper, an Adaptive Median Constant False Alarm Rate (AMCFAR) and multi-frame post detection integration algorithm is proposed for effective real time automatic target detection of boat-generated acoustic signals, in which, an observation space is created by sampling and dividing input analog acoustic signal into multiple frames and each frame is transformed into the 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 algorithm has been tested on several real acoustic signals from hydrophone sensors, and statistical analysis and experimental results showed it able to provide a very low false alarm rate and a relatively high detection rate in all cases.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages13-16
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: 4 Sep 20058 Sep 2005

Publication series

Name13th European Signal Processing Conference, EUSIPCO 2005

Conference

Conference13th European Signal Processing Conference, EUSIPCO 2005
Country/TerritoryTurkey
CityAntalya
Period4/09/058/09/05

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