Low-Complexity Equalisation Methods for OFDM Systems in Doubly Selective Channels

2008 ◽  
Author(s):  
Karthik Muralidhar ◽  
Li Kwok Hung ◽  
Ying Chang Liang
Keyword(s):  
Low Complexity ◽  
Ofdm Systems ◽  
Doubly Selective Channels

Low-Complexity ICI Cancellation Based on BEM for OFDM Systems over Doubly Selective Channels

2013 ◽  
Vol E96.B (6) ◽  
pp. 1588-1596 ◽  
Author(s):  
Suyue LI ◽  
Jian XIONG ◽  
Peng CHENG ◽  
Lin GUI ◽  
Youyun XU
Keyword(s):  
Low Complexity ◽  
Ofdm Systems ◽  
Doubly Selective Channels ◽  
Ici Cancellation

Low-Complexity Equalization for TDS-OFDM Systems Over Doubly Selective Channels

2005 ◽  
Vol 51 (3) ◽  
pp. 401-407 ◽  
Author(s):  
J. Fu ◽  
C.-Y. Pan ◽  
Z.-X. Yang ◽  
L. Yang
Keyword(s):  
Low Complexity ◽  
Ofdm Systems ◽  
Doubly Selective Channels

Low-complexity MMSE-SD Algorithm for OFDM Systems over Doubly-selective Channels

2014 ◽  
Vol 35 (2) ◽  
pp. 261-266
Author(s):  
Yong-tao Hui ◽  
Bing-bing Li ◽  
Zhao Tong ◽  
Lei-lei Xue
Keyword(s):  
Low Complexity ◽  
Ofdm Systems ◽  
Doubly Selective Channels

scholarly journals A Low-complexity Successive Detection Method for OFDM Systems over Doubly Selective Channels

2008 ◽  
Vol 4 (4) ◽  
pp. 245
Author(s):  
Chih-Liang Chen ◽  
Sau-Gee Chen
Keyword(s):  
Detection Method ◽  
Low Complexity ◽  
Detection Methods ◽  
Inversion Method ◽  
Data Detection ◽  
Ofdm Systems ◽  
Doubly Selective Channels ◽  
Lower Complexity ◽  
Matrix Inversion Method ◽  
Very High

For OFDM systems, the time variation of a multipath channel results in inter-carrier interference (ICI). It leads to performance degradations. In reducing the problem, current successive detection methods cost very high computationalcomplexities. Among them, the minimum-mean squareerror successive detection (MMSE-SD) method has the best performance. This work proposes an improved data detection method with low complexity by integrating the techniques of Newton’s iterative matrix inversion method and the MMSE-SD method which considers the effects of signal-to-interference-plusnoise ratio (SINR). In order to efficiently integrate Newton’s and MMSE-SD method, we develop an effective scheme with low complexity for generating the initial values required by Newton’s method. Based on the new initial value scheme, we are able tosimplify the criterion of maximum SINR determination to an equivalent one with lower complexity. As a result, the proposed algorithm has a much lower complexity of O(N2) than O(N3) of the MMSE-SD algorithm, where N is the number of subcarriers. Moreover, simulation results in different channel conditions show that performances of the proposed MMSE-SD method are very close to the MMSE-SD method.

A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

2010 ◽  
Vol E93-B (8) ◽  
pp. 2211-2214
Author(s):  
Bin SHENG ◽  
Pengcheng ZHU ◽  
Xiaohu YOU ◽  
Lan CHEN
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Low Complexity ◽  
Ofdm Systems ◽  
Sparse Channel Estimation ◽  
Sparse Channel
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