Open Area Concealed Weapon Detection (CWD) Sensor System and Algorithm Development

Yuxiang Huang, Peter Mather, Martin Sibley

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


A concealed weapon detection (CWD) system is proposed, to accurately differentiate between threatening and non-threatening objects, based on electromagnetic pulse-induction (PI). The resultant induced magnetic field generated from an object, is detected via a sensing coil and converted, in real-time, to a single bit data stream via a sigma-delta (\Sigma\triangle) modulator, forming a digital signature. A comparison of a no-object background signature with that of a detected object, enables specific characteristics of objects, specifically concealed weapons to be identified. The benefit of this system is the potential for accurate identification of different target objects by the analysis of the received response. This will ultimately enable the requirement for only the manual screening of individuals that are carrying threat objects. A novel algorithm is presented, to measure the time points of the object signature, which identify the featured object decay signal, so that the comparison of time points can achieve the distinction and classification of the detected targets enabling threat objects to be distinguished from non-threat objects.

Original languageEnglish
Title of host publication2019 PhotonIcs and Electromagnetics Research Symposium - Spring (PIERS-Spring)
EditorsJin Au Kong, Weng Cho Chew, Sailing He
Number of pages8
ISBN (Electronic)9781728134031
ISBN (Print)9781728134048
Publication statusPublished - 1 Jun 2019
Event41st PhotonIcs and Electromagnetics Research Symposium - Spring 2019 - Rome, Italy
Duration: 17 Jun 201920 Jun 2019
Conference number: 41

Publication series

NameProgress in Electromagnetics Research Symposium
ISSN (Electronic)1559-9450


Conference41st PhotonIcs and Electromagnetics Research Symposium - Spring 2019
Abbreviated title41st PIERS-Spring 2019
Internet address


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