Title :
A new lattice polynomial perceptron and its applications to frequency-selective fading channel equalization and ACI suppression
Author :
Xiang, Zeng-Jun ; Bi, Guang-Guo
Author_Institution :
Ericsson Commun., Seattle, WA, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
It is expected that the available spectrum for the proposed personal communication networks will soon be at a premium as the user population increases, and using multilevel quadrature amplitude modulation (MQAM), an bandwidth efficient transmission method for digital signals, may significantly ease the problem. A new lattice polynomial perceptron (LPP), with faster and less input signal-dependent convergence behavior, is presented and applied to frequency-selective slow fading channel equalization and adjacent-channel interference (ACI) suppression in a 16-QAM system. Computer simulation results are given, which shows that, in a 16-QAM system, the performance of LPP is clearly superior to that of the other structures
Keywords :
adjacent channel interference; decision feedback equalisers; digital radio; fading; interference suppression; land mobile radio; multilayer perceptrons; personal communication networks; polynomials; quadrature amplitude modulation; radiofrequency interference; telecommunication computing; 16-QAM system; ACI suppression; MQAM; adjacent channel interference suppression; bandwidth efficient transmission method; computer simulation results; digital signals; frequency selective slow fading channel equalization; input signal-dependent convergence; lattice polynomial perceptron; multilevel quadrature amplitude modulation; performance; personal communication networks; spectrum; Bandwidth; Computer simulation; Convergence; Fading; Frequency; Interference suppression; Lattices; Personal communication networks; Polynomials; Quadrature amplitude modulation;
Journal_Title :
Communications, IEEE Transactions on
