Abstract

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.

Keywords:

ADS simulation, memetic algorithm, PSO, ultra wideband receiver, wireless body area network,

References

Competing interests

The authors have no competing interests.

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Copyright

The authors have no competing interests.