Corporate Website
Contacts
it
Technology Transfer
About us
Patents
Publications
News
Search
en
Created with Sketch.
Close menu
English
italiano
Back
it
Close menu
About us
Patents
Publications
News
Corporate Website
Contacts
Lista pubblicazioni
View PUB_LIST
Version:
1.0
Approved
it-IT
it-IT
en-US
LDO-ID
2016-04-27-01
Title
Innovative Measurement Methods for Homeland Security Applications
Abstract
In this paper are proposed innovative measurements methods to detect and track humans beyond walls by RF electromagnetic approach and to detect people inside closed metallic structure by acoustic approach. The solution based on electromagnetic waves is a complex architectural solution that integrates two different measurements methods to perform different functions. The first function is the detection and tracking of moving targets in two-dimensional scenes, it exploits an advanced imaging technique, which takes advantages from a regularized linear inversion scheme. The second method has been developed for life signs detection and it takes advantage from a suitable spatial smoothing strategy applied to the traditional algorithm for Multiple Signal Classification (MUSIC), mandated to single out the spectral components of the received signal. However, all the methods based on electromagnetic waves for the detection of life signs fails when applied to signal associated with metallic structure due to the limited penetration depth and multiple reflections of radio signals in structures mainly made through metallic materials. Stemming from this consideration the authors present hereinafter a new method capable of detecting and recognizing vital signs, typical of human beings, thanks to the use of a suitable data acquisition system, based on a geophones network, and a proper digital signal processing algorithm.
Authors
Angrisani Leopoldo, Ascione Marcello, D’Urso Michele, Buonanno Aniello
Type
Paper for Specialistic Magazine
Media
RISE - Rivista Internazionale di Studi Europei
Web site
Anno
2016
Cancel
popup-close
Previous
Next
popup-close
popup-close
Close page
Enter Search Text
popup-close
LinkedIn
Twitter
Facebook
This application needs JavaScript to be enabled
2024-09-16T03:10:55Z
cookie_disclaimer:true
page_disclaimer :false