Paper
15 October 2013 Investigation of late time response analysis for detection of multiple concealed objects
Simon Hutchinson, Michael Fernando, David Andrews, Stuart Harmer, Nicholas Bowring
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon Hutchinson, Michael Fernando, David Andrews, Stuart Harmer, and Nicholas Bowring "Investigation of late time response analysis for detection of multiple concealed objects", 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); https://doi.org/10.1117/12.2028378
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Cited by 1 scholarly publication.
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KEYWORDS
Firearms

Radar

Signal processing

Wavelets

Continuous wavelet transforms

Antennas

Composites

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