Acoustic system for Low Flying Aircraft detection

Hady Salloum, Alexander Sedunov, Nikolay Sedunov, Alexander Sutin, David Masters

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

16 Scopus citations

Abstract

Low Flying Aircraft (LFA) have been used in illicit activities across borders as they are difficult to detect by radars. Stevens Institute of Technology has developed and built an Acoustic Air Detection (AAD) system that can detect, track and classify small aircrafts, helicopters and ultralights. The AAD consists of several nodes, where each node has five microphone clusters. Initial signal processing is conducted at each node, where the cross-correlation of signals between various microphone pairs is used for finding the acoustic signal direction of arrival. Limited acoustic signature and bearing information from each node is sent via a microwave link to a central processing station, where triangulation of the directions of arrival from two or more nodes allows for target localization. Special developed software separates acoustic signals of various Targets of Opportunity (TOO) from other manmade and natural sounds. A network of four AAD nodes was operated in a mountainous area for more than 10 months and during this time (which included changing seasons with high winds, rain and snow), the AAD system performed without interruption.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Technologies for Homeland Security, HST 2015
ISBN (Electronic)9781479917372
DOIs
StatePublished - 26 Aug 2015
EventIEEE International Symposium on Technologies for Homeland Security, HST 2015 - Waltham, United States
Duration: 14 Apr 201516 Apr 2015

Publication series

Name2015 IEEE International Symposium on Technologies for Homeland Security, HST 2015

Conference

ConferenceIEEE International Symposium on Technologies for Homeland Security, HST 2015
Country/TerritoryUnited States
CityWaltham
Period14/04/1516/04/15

Keywords

  • Low Flying Aircraft
  • acoustic detection

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