基于遗传算法的非线性参数估计
首发时间:2015-11-04
摘要:本文提出了一种基于遗传算法的参数估计方法,用来解决功率放大器的非线性参数估计问题。通过模拟自然进化过程中的选择、交叉以及变异过程,在问题的解空间中寻找最优解,得到估计参数。通过仿真实验证明,遗传算法可以对功率放大器的非线性参数进行快速有效地估计。
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Nonlinear parameter estimation based on genetic algorithm
Abstract:In this paper, a scheme based on genetic algorithm is proposed, which is used to solve the nonlinear parameter estimation of power amplifier. Search for optimal solution in the solution space and obtain the estimated parameters by simulating the selection, crossover and mutation process of natural evolution. Simulation results verify that the genetic algorithm can quickly and effectively estimate the nonlinear parameters of the power amplifier.
Keywords: 60GHz non-linear parameter estimation genetic algorithm(GA)
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No.4659409110533214****
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