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Channel estimation using continuous particle swarm optimization

机译:使用连续粒子群优化的信道估计

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In broad spectrum a channel refers as a transmission medium through which information is transmitted. In channel, when the signal is transmitted there is an accumulation of noise at the received signal. To eliminate this noise from the channel different estimation techniques are used such as training sequences-based estimation, blind channel estimation. These techniques have some drawbacks such as implementation, convergence and efficiency problems. To conquer the problems in existing channel estimation techniques, we use continuous particle swarm optimization soft version algorithm (CPSO) which is used to optimize the solution by improving the candidate solution with respect to some quality measure.
机译:在广谱中,信道是指通过其传输信息的传输介质。在信道中,当信号被发送时,在接收到的信号上会积累一些噪声。为了从信道中消除这种噪声,使用了不同的估计技术,例如基于训练序列的估计,盲信道估计。这些技术具有一些缺点,例如实施,收敛和效率问题。为了解决现有信道估计技术中的问题,我们使用连续粒子群优化软版本算法(CPSO),该算法用于通过针对某些质量度量改进候选解来优化解。

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