Title :
Waveform design for UWB communication based on combined wavelet pulse
Author :
Jie, Yang ; Na, Weng Li
Author_Institution :
Wuhan Univ. of Technol., Wuhan
Abstract :
The Federal Communications Commission (FCC) has established a strict standard for Ultra wide-band (UWB) communication, which is critical for UWB pulse shape design. In this paper, a novel iterative combined pulse algorithm is proposed. Wavelet pulses with the diverse translation factors and diverse spectral moving factors act as basis functions. The principle of linear minimum mean square error (LMMSE) is introduced in order to get the weighting factors of the basis functions .The comparison of spectrum efficiency and bit error rate (BER) performance of combined wavelet waveform and the other two waveforms, single wavelet pulse and combination of Gaussian derivative pulse, in time-hopping pulse position modulation (TH-PPM) system is presented. The simulation results show that the newly proposed waveform not only has an extremely short duration and optimum spectrum efficiency, but also has a BER performance as good as the other two waveforms. Also, based on the alterability of wavelet basis functions, this algorithm provides a flexible and effective method for designing suitable pulses for UWB communication applications.
Keywords :
Gaussian processes; error statistics; iterative methods; mean square error methods; pulse position modulation; ultra wideband communication; wavelet transforms; Gaussian derivative pulse; LMMSE; UWB communication; bit error rate; diverse spectral moving factor; diverse translation factor; iterative combined wavelet pulse algorithm; linear minimum mean square error; spectrum efficiency; time-hopping pulse position modulation; waveform design; Bit error rate; Communication standards; FCC; Iterative algorithms; Mean square error methods; Pulse modulation; Pulse shaping methods; Shape; Ultra wideband communication; Ultra wideband technology; FCC emission mask; LMMSE; UWB; pulse shape design; wavelet;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
DOI :
10.1109/ICWAPR.2007.4421753