Joint order and channel estimation with evolutionary algorithm
The classic adaptive channel estimation algorithms exhibit high dependence on the prior knowledge of channel order.In this paper, a joint order and channel estimation algorithm is proposed. By exploiting the excellent global optimization performance of the evolutionary algorithm, the channel order and channel impulse response are evolved at the same time with the MSE as fitness fuction. The experimental results on simulated channel show that the proposed algorithm outperforms the traditional LMS estimation approach in initial convergence rate as well as the tolerance upon order underestimation.
TONG Feng XU Xiao-Mei Chen Dong-sheng
CAIE, Dept.of Oceanography, Xiamen University Xiamen, Fujian Province, China
国际会议
武汉
英文
533-536
2005-09-23(万方平台首次上网日期,不代表论文的发表时间)