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Multi-stage complex fractionally spaced bilinear perceptron and its applications to MQAM system for channel equalization in FSRF and CCI environment

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4 Author(s)
Saini, J.P. ; Kamla Nehru Inst. of Technol., Sultanpur, India ; Mathur, S. ; Mishra, Y.K. ; Srivastava, M.C.

In this paper, a new multistage complex fractionally spaced bilinear perceptron (MCFSBLP) model with faster convergence rate is introduced. It divides the task of equalizing multilevel quadrature amplitude modulation (M-QAM) system into simple, fast and reliable sub-tasks. The computational complexity does not increase as the level of QAM increases in this model. Applications for frequency selective Rayleigh fading (FSRF) channel equalization and co-channel interference (CCI) suppression in 16-level QAM receiver system are considered. Computer simulation results are presented, which suggest that MCFSBLP is quite effective in higher order QAM channel

Published in:
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on  (Volume:2 )

Date of Conference: 4-9 May 1998

Page(s):
913 - 917 vol.2
Meeting Date :
04 May 1998-09 May 1998
ISSN :
1098-7576
Print ISBN:
0-7803-4859-1
INSPEC Accession Number:
6040308
Conference Location :
Anchorage, AK
Digital Object Identifier :
10.1109/IJCNN.1998.685890
Product Type:
Conference Publications

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