DocumentCode :
157022
Title :
PSO and APSO for optimal antenna locations in indoor environment
Author :
Jen-Shiun Chiang ; Wei-Ming Hsu ; Yu-Kai Chou ; Shu-Han Liao
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Taipei, Taiwan
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
1
Lastpage :
4
Abstract :
A novel optimization procedure to allocate the location of receiver antenna in ultra wideband (UWB) wireless communication systems in indoor environment is presented. The impulse responses of different antenna locations are computed by ray-tracing techniques. By using the impulse responses of these multi-path channels, the bit error rate (BER) performance for binary pulse amplitude modulation (BPAM) impulse radio UWB communication system is calculated. Based on the BER performance, the outage probability of arbitrary region of transmitters for any given location of the receiver antenna can be computed. Particle swarm optimizer (PSO) and asynchronous particle swarm optimization (APSO), which can minimize the outage probability, are used to find the optimal location for the receiver antenna in the indoor environment. Numerical results show that the performance for reducing BER and outage probability by APSO and PSO is similar. The numerical results also show that the APSO outperforms the PSO in convergence speed.
Keywords :
error statistics; indoor radio; particle swarm optimisation; pulse amplitude modulation; radio receivers; ray tracing; transient response; ultra wideband antennas; ultra wideband communication; APSO; BER performance; BPAM; UWB wireless communication systems; binary pulse amplitude modulation; bit error rate; impulse radio UWB communication system; impulse responses; indoor environment; multipath channels; optimal antenna locations; optimization procedure; outage probability; ray-tracing techniques; receiver antenna location; ultra wideband wireless communication systems; Bit error rate; Indoor environments; Optimization; Particle swarm optimization; Receiving antennas; Wireless communication; APSO; BER; PSO; UWB; outage probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
Conference_Location :
Taipei
Type :
conf
DOI :
10.1109/IGBSG.2014.6835259
Filename :
6835259
Link To Document :
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