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2013 (Vol. 6, Issue: 12)
Article Information:

Optimization of UWB Receiver using the Improved Memetic Algorithm in WBAN

Qi-Ming Zeng, Hang Yu, Yan Li, Lai Jiang and Zhen Ji
Corresponding Author:  Hang Yu 

Key words:  ADS simulation, memetic algorithm, PSO, ultra wideband receiver, wireless body area network, ,
Vol. 6 , (12): 2187-2191
Submitted Accepted Published
December 07, 2012 January 23, 2013 July 30, 2013

A novel method for Ultra Wideband (UWB) receiver design in Wireless Body Area Network (WBAN) is proposed in this study. The method is based on the Improved Memetic-Algorithm (IMA), with the output Signal-to-Noise Ratio of the receiver (SNRout) is optimized. By relating the target SNRout to the parameters of main components, including Low Noise Amplifier (LNA), mixer and base-band Low Pass Filter (LPF), an objective function was built for multi-parameters optimization in the IMA. The optimum values of small signal gain, noise factor and inter-modulation product can then be calculated. Two PSO algorithms, CLPSO (Comprehensive Learning Particle Swarm Optimizer) and AdpISPO (Self-adaptive Intelligent Single Particle Optimizer) were introduced in the IMA for different particles updating. The proposed method was validated through extensive experiments. Comparing to conventional PSO approaches, the proposed method can converge to the optimum design with less iteration.
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  Cite this Reference:
Qi-Ming Zeng, Hang Yu, Yan Li, Lai Jiang and Zhen Ji, 2013. Optimization of UWB Receiver using the Improved Memetic Algorithm in WBAN.  Research Journal of Applied Sciences, Engineering and Technology, 6(12): 2187-2191.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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