Title :
Wavelet analysis of impulse ultra-wideband radar
Author :
Jenkins, Rowland L. ; Dewberry, Brandon ; Joiner, Laurie
Author_Institution :
Univ. of Alabama at Huntsville, Huntsville, AL, USA
Abstract :
In this paper, we have enhanced ultra-wideband (UWB) radar signal-to-noise ratio (SNR) by applying a wavelet transform (WT) based matched filter. The wavelet transform algorithm (WTA) provided enhanced reliability relative to conventional background template subtraction (BTS) approach, increasing reliability detecting targets in the nonlinear close in (<50 cm) and at the maximum distance tested (29 m.) We extrapolated the WTA can support a maximum radar range of 60 m, about twice that available with the conventional constant false alarm rate (CFAR) methods.
Keywords :
ultra wideband radar; wavelet transforms; background template subtraction; constant false alarm rate methods; impulse ultra-wideband radar signal-to-noise ratio; wavelet analysis; wavelet transform algorithm; wavelet transform based matched filter; FCC; Pulse modulation; Radar detection; Signal to noise ratio; Testing; Ultra wideband radar; Ultra wideband technology; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
DOI :
10.1109/SECON.2010.5453898
