A Novel Blind Channel Identification and Equalisation Algorithm Based on Maximum Likelihood

被引：4
作者：
Lakkis I. [1 ,3 ,4 ,5 ,6 ,10 ]
Mclernon D. [2 ,5 ,7 ,8 ,9 ,10 ,11 ]
Lopes L. [5 ,10 ,12 ,13 ,14 ,15 ]
机构：
[1] Wireless Facilities Inc., 9725 Scranton RD, San Diego
[2] Dept. of Electron. and Elec. Eng., University of Leeds
[3] Wireless Facilities Inc., San Diego, CA
[4] Department of Electrical Engineering, Queen's University, Belfast
[5] Imperial College, London University
[6] South Bank University, London
[7] Electron. and Elec. Eng. Department, University of Leeds
[8] GSM Reserach Group, Motorola
来源：
Wireless Personal Communications | 1998年 / 8卷 / 2期
基金：
英国工程与自然科学研究理事会;
关键词：
Blind equalisation; Cyclostationarity; FIR channel identification; Maximum likelihood; Music algorithm;
D O I：
10.1023/A:1008880608792
中图分类号：
学科分类号：
摘要：
A novel blind non-decision directed maximum likelihood algorithm for fractionally-spaced nonminimum phase FIR channel identification and equalisation is presented. The algorithm results from using the low signal to noise approximation to the average of the likelihood function with respect to the transmitted data sequence. The channel estimation equation is derived in a closed form. The resulting algorithm has two distinct advantages. The first is that the channel estimates are asymptotically consistent, and the second is that the algorithm is computationally efficient since it only requires the calculation of one eignevector. Simulation results are presented to show the performance of the proposed algorithm.
引用
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页码：73 / 92
页数：19
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