Neural detection of QAM modulation in the presence of interference

摘要

Novel receiver structures combining traditional transversal equalizers and neural networks have been introduced for adaptive discrete-signal detection to improve the equalizer performance especially in compensating nonlinear distortions. In addition to noise and nonlinearities, various interfering signals may be present. In this paper, the behavior of the neural receivers in the presence of random interference has been investigated. New adaptive structures for compensating interference are presented.