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Evolutionary MPNN for Channel Equalization

Journal of Signal and Information Processing 2011年第1期2卷 11-17页

作者： Archana Sarangi Bijay Ketan Panigrahi Siba Prasada Panigrahi department of aeie ITER SOA University Bhubaneswar India department of Electrical Engineering IIT Delhi India department of Electrical Engineering KIST Bhubaneswar India

This paper proposes a novel equalizer, termed here as Evolutionary MPNN, where a complex modified probabilistic Neural Networks (MPNN) acts as a filter for the detected signal pattern. The neurons were embedded with optimization algorithms. We have considered two optimization algorithms, Bacteria Foraging Optimization (BFO) and Ant Colony Optimization (ACO). The proposed structure have the ability to process complex signals also can perform for slowly varying channels. Also, Simulation results prove the superior performance of the proposed equalizer over the existing MPNN equalizers.

关键词： Channel Equalization Probabilistic Neural Network Bacteria Foraging Ant Colony Optimization

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FDTD Modeling of Lorentzian DNG Metamaterials by Auxiliary Differential Equation Method

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Journal of Electromagnetic Analysis and Applications 2014年第5期6卷 106-114页

作者： Chiranjib Goswami Saptarshi Mukherjee Subrata Karmakar Manimala Pal Rowdra Ghatak department of aeie Asansol Engineering College Asansol India Microwave and Antenna Research Laboratory Department of ECE National Institute of Technology Durgapur Durgapur India Radio Engineering and Antenna Laboratory ECE Department NFET NSHM Knowledge Campus Durgapur Durgapur India

In this paper, Finite Difference Time Domain (FDTD) is utilized to simulate metamaterials of Double Negative (DNG) origin that refers to those materials having simultaneous negative permittivity and permeability. The problem regarding space formulation is achieved by means of auxiliary differential equation method (ADE), which is easy, reliable and also causal process in nature thus making it proficient. It uses fair approximations to explicate the model. Mur’s boundary condition is used for 1-D problem space and convolution perfectly matched layer boundary is implemented for 2-D problem space. The properties of metamaterial conform their speculations of energy absorption, enhancement and backward propagation property with the aid of graphs engineered by Matlab simulation both in 1-D and 2-D. Also, the interaction of fields on DNG and Double Positive (DPS) layers is contrasted. The results achieved elucidate the validity and effectiveness of the ADE method and the Convolution Perfectly Match Layer (CPML) in designing DNG metamaterials.

关键词： ABC ADE Method CPML DNG FDTD Method

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