Polynomial perceptrons and their applications to fading channel equalization and co-channel interference suppression

The paper investigates the behaviours of polynomial perceptrons (PP) introduces a fractionally spaced recursive polynomial perceptron (FSRPP) with low complexity and fast convergence rate. The nonlinear mapping abilities of PP and FSRPP are analyzed. Applications of PP for fading channel equalization and co-channel interference (CCI) suppression in a 16-level quadrature amplitude modulation receiver system are considered. Computer simulations are used to evaluate and compare the performance of PP and fractionally spaced bilinear perceptron (FSBLP) with that of the synchronous decision feedback multilayer perceptron (SDFMLP), fractionally spaced decision feedback multilayer perceptron (FSDFMLP), and the conventional decision feedback equalizer (DFE). The results show that the performance of FSBLP is clearly superior to that of the other structures