DocumentCode :
1826377
Title :
A Novel UWB Pulse Waveform Design Method
Author :
Keshavarz, Seyed Noorodin ; Hajizadeh, Saeed ; Hamidi, Mehdi ; Omali, Mahdi Gholami
Author_Institution :
Dept. of Electr. Eng., Ferdowsi Univ. Mashhad, Mashhad, Iran
fYear :
2010
fDate :
27-29 July 2010
Firstpage :
168
Lastpage :
173
Abstract :
Avoiding interference, one of the efficient methods is to design appropriate pulse waveform. In this paper an optimized pulse design method is proposed as ultra wideband (UWB) pulse shapes that made use of a linear only triple-pulse combination of multiple Gaussian derivatives. So as to gain the best weight coefficient, we proposed to optimize its weight vector and shaping factor by particle swarm optimization (PSO) technique, which is an optimization method inspired by swarm behavior. Then we use the standard Gaussian approximation (SGA) algorithm to evaluate the performance of these pulses in the presence of multiuser interference (MUI). The simulation results show that the linear Gaussian combined UWB pulses meet the power spectral constraint of the Federal Communication Commission (FCC) emission mask rule. Furthermore, its performance is better than single Gaussian derivation pulse or other ways to satisfy some demand.
Keywords :
Gaussian processes; interference (signal); particle swarm optimisation; performance evaluation; spectral analysis; ultra wideband communication; FCC emission mask rule; Federal Communication Commission; PSO technique; SGA algorithm; UWB pulse waveform design method; best weight coefficient; linear Gaussian combined UWB pulses; linear only triple-pulse combination; multiple Gaussian derivatives; multiuser interference; optimization method; optimized pulse design method; particle swarm optimization technique; performance evaluation; power spectral constraint; shaping factor; single Gaussian derivation pulse; standard Gaussian approximation algorithm; swarm behavior; ultra wideband pulse shapes; weight vector; Algorithm design and analysis; Equations; FCC; Shape; Ultra wideband technology; Vectors; Gaussian derivative; MUI; PSO algorithm; SGA algorithm; UWB pulse; spectral shaping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Mobile Applications, Services and Technologies (NGMAST), 2010 Fourth International Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4244-7649-7
Type :
conf
DOI :
10.1109/NGMAST.2010.42
Filename :
5558217
Link To Document :
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