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

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.