A new polynomial structure for channel equalization and ACI suppression in 64-QAM reception

Author

Saini, J.P. ; Srivastava, M.C.

Author_Institution

Kamla Nehru Inst. of Technol., Sultanpur, India

Volume

4

fYear

1998

fDate

31 May-3 Jun 1998

Firstpage

457

Abstract

This paper presents a new multi-stage complex fractionally spaced bilinear perceptron (MCFSBLP) model for channel equalization and ACI suppression in 64-QAM reception. The model divides the task of equalizing M-QAM system into simple, fast and reliable subtasks in three stages, each with complexity not exceeding that of 4-QAM. Simulation results show that 64-QAM can be reconstructed efficiently with slightly increased computations

Keywords

adjacent channel interference; equalisers; interference suppression; perceptrons; polynomials; quadrature amplitude modulation; reception; telecommunication channels; ACI suppression; M-QAM reception; MCFSBLP model; channel equalization; multi-stage complex fractionally spaced bilinear perceptron; polynomial structure; simulation; Decision feedback equalizers; Digital communication; Fading; Frequency; Neural networks; Nonlinear distortion; Polynomials; Quadrature amplitude modulation; Quadrature phase shift keying; Reliability engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4455-3

Type

conf

DOI

10.1109/ISCAS.1998.698926

Filename

698926