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In QAM communication system, CMA only was utilized to module statistical property of signals, and not to contain the phase information. In the phase deviation channel, great phase error was brought out. Simultaneously, it affected the convergence rate. A restraint function utilizing the amplitude of the signal was constructed in this article. The function must approach zero when the amplitude was...
As a key technology of digital broadcast and TV, blind equalization overcomes inter-symbol interference to improve the effect of receiving signals. A new QAM blind equalization algorithm based on fuzzy neural network classifier was proposed. Simulation shows that the new algorithm improves convergence speed and reduces residual error and BER (bit error ratio).
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