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

Author

Saini, J.P. ; Mathur, S. ; Mishra, Y.K. ; Srivastava, M.C.

Author_Institution

Kamla Nehru Inst. of Technol., Sultanpur, India

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

913

Abstract

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

Keywords

Rayleigh channels; cochannel interference; convergence; data communication; equalisers; fading; perceptrons; quadrature amplitude modulation; telecommunication computing; QAM receiver; bilinear perceptron; channel equalization; cochannel interference suppression; computational complexity; convergence; data communication; frequency selective Rayleigh fading channel; multilevel quadrature amplitude modulation; Computational complexity; Fading; Feedback; Filters; Niobium; Pattern classification; Polynomials; Quadrature amplitude modulation; Radiofrequency interference; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.685890

Filename

685890