提出了一种改进差分进化算法,该算法在传统差分进化基础上,增加了动态参数调整机制,获得了更好的收敛精度和收敛速度,并进一步将其用于衰落信道的均衡。与线性最小均方误差算法以及传统差分进化算法相比,该算法可以获得更低的误码率和更快的收敛速度。文中还利用Simulink软件完成了算法模型的搭建与优化工作,进一步部署在嵌入式硬件平台上进行测试。仿真与测试结果表明:该均衡算法较传统算法具有更快的收敛速度和收敛精度,可以有效补偿衰落信道引起的信号畸变。

A modified differential evolution (DE) algorithm is proposed and applied to distort channel equalization. On the basis of the traditional differential evolution, the dynamic parameter adjustment is added to the algorithm, and better convergence accuracy and speed are obtained. Comparing to linear minimum mean square error and traditional DE method, the proposed algorithm achieves lower bit error rate and faster convergence speed. The algorithm is modeled and optimized by Simulink software and deployed in embedded hardware platform. The simulation results and test results illustrate that the proposed algorithm converges faster and more accurate than traditional algorithm, which can effectively compensate signal distortion introduced by the fade channel.

TN973.3