DocumentCode
461712
Title
ADAPTIVE EQUALIZATION WITH CANCELLATION FOR FREQUENCY SELECTIVE LAYERED SPACE-TIME RECEIVER
Author
He, Guanghui ; Zhou, Zucheng
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Volume
3
fYear
2006
fDate
16-20 2006
Abstract
Layered space-time architecture can achieve high channel capacity by deploying multiple transmit and receive antennas, but the existence of inter-symbol interference (ISI) and co-channel interference (CCI) limits its performance over frequency selective fading channels. In this paper, a new adaptive equalization with interference cancellation method based on affine projection algorithm (APA) is developed. The proposed algorithm performs interference cancellation in the process of detection without channel identification. Simulation results demonstrate the promising performance of the proposed method. Furthermore, this algorithm can obtain significant computation saving over the existed RLS-IC-DFE algorithm with approximately the same bit error rate (BER) performance
Keywords
adaptive equalisers; antenna arrays; cochannel interference; error statistics; fading channels; interference suppression; intersymbol interference; receiving antennas; transmitting antennas; BER; RLS-IC-DFE algorithm; adaptive equalization; affine projection algorithm; bit error rate; cochannel interference; frequency selective fading channels; frequency selective layered space-time receiver; high channel capacity; interference cancellation method; intersymbol interference; multiple receive antennas; multiple transmit antennas; Adaptive equalizers; Bit error rate; Channel capacity; Fading; Frequency; Interchannel interference; Interference cancellation; Intersymbol interference; Radiofrequency interference; Receiving antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345814
Filename
4129259
Link To Document