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Proceedings Paper

Investigation of late time response analysis for detection of multiple concealed objects
Author(s): Simon Hutchinson; Michael Fernando; David Andrews; Stuart Harmer; Nicholas Bowring
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Paper Abstract

This paper investigates the use of Late Time Response (LTR) analysis for detecting multiple objects in concealed object detection. When a conductive object is illuminated by an ultra-wide band (UWB) frequency radar signal, the surface currents induced upon the object give rise to LTR signals. The LTR results from a number of different targets are presented. The distance between the targets within the same radar beam has been adjusted in increments of 5cm to determine the point at which the individual objects can be distinguished from each other. The experiment was performed using double ridged horn antennas in a pseudo-monostatic arrangement. Vector network analysers (VNA) are used to provide the UWB stepped frequency continuous wave radar signal. The distance between the transmitting antenna and the target object is kept at 50cm for all the experiments performed and the power level at the VNA was set to 2dBm. The targets in the experimental setup are suspended in isolation in a non-anechoic environment. To allow for the de-convolution of the signal and the removal of background clutter Matlab was used in post processing. The Fast Fourier Transform (FFT) and Continuous Wavelet Transform (CWT) are used to process the return signals and extract the LTR features from the noise clutter. A Generalized Pencil-of-Function (GPOF) method was then used to extract the complex poles of the signal. In the case of a single needle these poles can be found around 1.9GHz.

Paper Details

Date Published: 15 October 2013
PDF: 13 pages
Proc. SPIE 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 88970O (15 October 2013); doi: 10.1117/12.2028378
Show Author Affiliations
Simon Hutchinson, Manchester Metropolitan Univ. (United Kingdom)
Michael Fernando, Manchester Metropolitan Univ. (United Kingdom)
David Andrews, Manchester Metropolitan Univ. (United Kingdom)
Stuart Harmer, Manchester Metropolitan Univ. (United Kingdom)
Nicholas Bowring, Manchester Metropolitan Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 8897:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing
Gary W. Kamerman; Ove K. Steinvall; Gary J. Bishop; John D. Gonglewski, Editor(s)

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