基于遺傳算法的盲信道估計(jì)新算法
A new blind fir system estimation method based on genetic algorithm
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摘要: 基于單輸入多輸出的信道模型,該文提出一種基于遺傳算法的信道盲估計(jì)算法,該算法的特點(diǎn)是基于低階統(tǒng)計(jì)量,計(jì)算速度快;并且把信道階數(shù)作為染色體的一部分參與估計(jì),從而能在信道階數(shù)未知的條件下同時(shí)對(duì)信道階數(shù)和參數(shù)進(jìn)行估計(jì)。仿真結(jié)果表明該算法的性能優(yōu)于現(xiàn)有的非迭代算法。
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關(guān)鍵詞:
- 遺傳算法; 盲估計(jì); 單輸入多輸出信道模型
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. -
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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