A Novel, Fast, Approximate Target Detection Technique for Metallic Target Below a Frequency Dependant Lossy Halfspace
Journal article, 2010

The extinction pulse (E-Pulse) technique has been widely applied to problems involving radar target identification. In this paper a fast approximate target detection and recognition scheme based on the E-Pulse technique is proposed and applied to a subsurface target detection and recognition scenario. Previous studies have demonstrated that the target resonances for subsurface targets are closely related to the target resonances for a target within a homogenous environment. In the proposed method, the target resonance for the target in the homogenous medium will be used to construct the E-Pulse for target detection and recognition purposes. The details of the proposed method will be described in this paper. The obvious example of a target below a dielectric halfspace is the use of ground penetrating radar (GPR) for detecting and recognizing unexploded ordnance (UXO). However, instead of a GPR related scenario, a numerical example of a biomedically related problem, of a hip prosthesis model sited within a halfspace of homogenous human tissue model with realistic dielectric properties will be used to demonstrate the feasibilities of the proposed technique for target detection and recognition. The reasons for the choice of this particular example will also be explained in the paper.

Automated target recognition

Approximation method

Resonance based target recognition

Subsurface target detection

Transient scattering

Time domain electromagnetics

Author

Hoi-Shun Lui

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

N. V. Z. Shuley

University of Queensland

A. D. Rakic

University of Queensland

IEEE Transactions on Antennas and Propagation

0018926x (ISSN) 15582221 (eISSN)

Vol. 58 5 1699-1710 5422612

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TAP.2010.2044317

More information

Latest update

2/28/2018