DocumentCode
2283711
Title
Notice of Retraction
Adaptive Turbo Equalization Algorithm Based on the Estimation of Channel Characteristics
Author
Shuxia Guo ; Guodong Huang ; Bing Liu
Author_Institution
Nat. Key Lab. of Sci. & Technol. on UAV, Northwestern Polytech. Univ., Xi´an, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
526
Lastpage
529
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel´s changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations between equalizer and decoder are employed. Simulation results show that adaptive Turbo equalization achieves nearly 1.5 dB gain at 10-4 of BER compared with the conventional RLS, and reduces the complexity of calculation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel´s changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations between equalizer and decoder are employed. Simulation results show that adaptive Turbo equalization achieves nearly 1.5 dB gain at 10-4 of BER compared with the conventional RLS, and reduces the complexity of calculation.
Keywords
channel estimation; computational complexity; decoding; equalisers; interference suppression; intersymbol interference; iterative methods; least mean squares methods; least squares approximations; turbo codes; wireless channels; BER; adaptive turbo equalization algorithm; channel estimation; complexity reduction; intersymbol interference; iterative recursive least square; least mean square; soft interference cancellation algorithm; wireless channel; Adaptive equalizers; Gain; Interference cancellation; Intersymbol interference; Iterative algorithms; Iterative decoding; Least squares approximation; Recursive estimation; Resonance light scattering; Silicon carbide; Turbo equalization; inter-symbol interference (ISI); iterative channel estimation; soft interference cancellation;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.585
Filename
5458934
Link To Document