Joint Channel and Data Estimation Using Particle Swarm Optimization

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概要

• 論文の詳細を見る

• The task of joint channel and data estimation based on the maximum likelihood principle is addressed using a continuous and discrete particle swarm optimization (PSO) algorithm over additive white Gaussian noise channels. The PSO algorithm works at two levels. At the upper level continuous PSO estimates the channel while at the lower level, discrete PSO detects the data. Simulation results indicate that under the same conditions, PSO outperforms the best of the published alternatives.

• （社）電子情報通信学会の論文
• 2008-09-01

著者

• Choudhry Muhammad

  Department Of Electrical Engineering Air University

• Zubair Muhammad

  Department Of Electronic Engineering International Islamic University

• Qureshi Ijaz

  Center Of Intelligent Systems Engineering Iiui

• Qureshi Ijaz

  Center Of Intelligent Systems Engineering

• ZUBAIR Muhammad

  Center of Intelligent Systems Engineering

• NAVEED Aqdas

  Center of Intelligent Systems Engineering

• Naveed Aqdas

  Center Of Intelligent Systems Engineering Iiui

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