Abstract:
Ultra-wideband (UWB) wireless technology has recently obtained a renewed
stimulus and wider attention as Federal Communications Committee (FCC) of
USA released unlicensed spectrum in the 3.1~10.6 GHz band for short range
communications. Filters are one of the important components in the development
of UWB transceivers. Further, filters are also important in the context of
interference that may arise due to co-existence of other services within the
allocated UWB spectrum. Our aim here is to present a design method of UWB
bandpass filter using microstrip stubs based on Z-transform technique [1] coupled
with particle swarm optimization method.
The Particle Swarm Optimization (PSO) is a powerful stochastic optimization
technique [2] and it has been used to solve a wide array of different optimization
problems [3]. In this paper, we utilize the PSO method within the Z-transform
technique to design bandpass filters that cover UWB spectrum. We first introduce
the PSO and Z-transform technique, explain the application of the PSO for the
design of UWB bandpass filters and show results based on simulations.
The PSO
