Performance Evaluation of Subsurface Target Recognition based on Ultra-Wideband Short-Pulse Excitation
Hoi-Shun Lui (1), Nicholas V. Shuley (2)
(1) Department of Signals and Systems, Chalmers University of Technology, Sweden (2) School of Information Technology and Electrical Engineering, The University of Queensland, Australia
Automated Target Recognition (ATR) based on Natural Resonance Frequencies (NRFs) embedded in Ultra Wideband (UWB) transient electromagnetic signatures have been extensively studied. To our knowledge, most studies concerning ATR using the E-Pulse technique [1]-[2] are about radar targets in free space. Recent attempts have been made to apply the E-Pulse technique for subsurface target detection [3]-[6]. In this paper, performance evaluation of a recently proposed subsurface target recognition technique based on the E-Pulse and Baum’s transform [5]-[6] under different signal-to-noise ratios (SNR) is considered. Examples of target recognition of three different perfect electric conductor (PEC) targets sited below a frequency-dependent lossy halfspace are presented.
IEEE Antennas and Propagation Society International Symposium (APSURSI)
2010
July
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