Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Blind Channel Estimation and Equalization for Multiple FIR Channels | EURASIP Journal on Applied Signal Processing 2004 13 2002-2009 2004 Hindawi Publishing Corporation Blind Channel Estimation and Equalization for Multiple FIR Channels Shiann-Jeng Yu National Center for High Performance Computing Hsin-Shi Tainan Country 744 Taiwan Email sjyu@ Fang-Biau Ueng Department of Electrical Engineering National Chung Hsing University 250 Kuo-Kuang Road Taichung 402 Taiwan Email fbueng@ Received 15 February 2004 Revised 1June 2004 Recommended for Publication by Xiaodong Wang This paper deals with the problem of blind equalizations based on effective channel order determination for multiple FIR channels. Most popular order determination methods use the eigenvalue decomposition EVD technique with an overmodeled data correlation matrix. However performing the EVD consumes huge computation resources. In this paper we consider the channel with infinite small leading and tailing terms which is natural for measured microwave radio channels and develop a computationally simple method for effective channel order determination. Based on multiple-shift property of a data correlation matrix a new performance index is analyzed. The channel order is determined if the performance index is greater than a threshold. To select the threshold we model the performance index as an F-distributed random variable. For a specified confidence level the threshold can be found from the table. This proposed method does not require EVD the computation load is much lower than that of the EVD-based methods. Keywords and phrases second-order statistics channel equalization channel order estimation F-distribution. 1. INTRODUCTION Blind adaptive equalization of multiple FIR channels without training data available was studied intensively in the literature. Several algorithms have been developed by using the second-order statistics SOS 1 2 3 4 5 6 7 8 9 10 . For the SOS-based algorithms channel order is a crucial parameter for computing the equalization
