Title :
Optimal Waveform Design for UWB Communication Based on Gaussian Derivatives
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing
Abstract :
Ultra-wideband (UWB) radios have attracted great interest for their potential application in short-range high-data- rate wireless communications. High received signal noise ratio and compliance with the FCC spectral mask call for judicious design of UWB pulse shapers. In this paper, even and odd order derivatives of Gaussian pulse are used respectively as base waveforms to produce two synthesized pulses. Our method can realize high efficiency of spectral utilization in terms of normalized effective signal power (NESP). The waveform design problem can be converted into linear programming problem, which can be efficiently solved. The waveform based on even order derivatives is orthogonal with the one based on odd order derivatives.
Keywords :
Gaussian processes; linear programming; radiocommunication; ultra wideband communication; FCC spectral mask; Gaussian derivatives; UWB communication; UWB radios; linear programming problem; normalized effective signal power; optimal waveform design; signal noise ratio; wireless communications; FCC; Linear programming; Noise shaping; Pulse shaping methods; Signal design; Signal synthesis; Signal to noise ratio; Ultra wideband communication; Ultra wideband technology; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.145