標題: ADAPTIVE BLIND EQUALIZATION USING 2ND-ORDER AND HIGHER-ORDER STATISTICS
作者: UENG, FB
SU, YT
電信工程研究所
友訊交大聯合研發中心
Institute of Communications Engineering
D Link NCTU Joint Res Ctr
公開日期: 1-一月-1995
摘要: This paper presents two classes of adaptive blind algorithms based on second- and higher order statistics. The first class contains fast recursive algorithms whose cost functions involve second and third- or fourth-order cumulants. These algorithms are stochastic gradient-based but have structures similar to the fast transversal filters (FTF) algorithms. The second class is composed of two stages: the first stage uses a gradient adaptive lattice (GAL) while the second stage employs a higher order-cumulant (HOC) based least mean squares (LMS) filter. The computational loads for these algorithms are all linearly proportional to the number of taps used, Furthermore, the second class, as various numerical examples indicate, yields very fast convergence rates and low steady state mean square errors (MSE) and intersymbol interference (ISI), MSE convergence analyses for the proposed algorithms are also provided and compared with simulation results.
URI: http://dx.doi.org/10.1109/49.363138
http://hdl.handle.net/11536/2143
ISSN: 0733-8716
DOI: 10.1109/49.363138
期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume: 13
Issue: 1
起始頁: 132
結束頁: 140
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QB70700014.pdf