基于遗传算法的盲信道估计新算法
A new blind fir system estimation method based on genetic algorithm
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摘要: 基于单输入多输出的信道模型,该文提出一种基于遗传算法的信道盲估计算法,该算法的特点是基于低阶统计量,计算速度快;并且把信道阶数作为染色体的一部分参与估计,从而能在信道阶数未知的条件下同时对信道阶数和参数进行估计。仿真结果表明该算法的性能优于现有的非迭代算法。Abstract: In this paper, a genetic algorithm is proposed for blind FIR system estimation based on a Single-Input-Multiple-Output (SIMO) model. The key proposition is that the parameters are estimated blindly by using a lower-order statistics based cost function thus the computation can be saved. Both the order and parameters of the channel are encoded in one chromosome, thus they can be estimated jointly without assuming the channel order is known. Simulation results show that the algorithm performs better than traditional algorithms.
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G.B. Giannakis, J. M. Mendel, Identification of nonminimun phase systems using higher order statistics, IEEE Trans. on Acoust., Speech, Signal Processing, 1989, 37(3), 360-377.[2]Li Yong, Han Chongzhao, Dang Yingnong, Nonlinear system identification with genetic algorithms, Proc. of the 3rd World Congress on Intelligent Control and Automation, Hefei P. R.China, vol.1, 2000, 597-601.[3]Yingbo Hua, Fast Maximun likelihood for blind identification of multiple FIR channels, IEEE Trans. on Signal Processing, 1996, 44(3), 661-672.[4]E. Moulines, P. Duhamel, J. Francois, S. Mayargue, Subspace methods for blind identification of multichannel FIR filters, IEEE Trans. on Signal Processing, 1995, 43(2), 516-525. -
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