Volterra model based decision feedback equalisation with lattice orthogonalisation

Lattice‐based memory polynomial predistorter for wideband radio frequency power amplifiers

“…In this work, the ability of lattice predictors to produce output error samples, which are orthogonal and span the same space as the lattice inputs [14][15][16] is utilised to produce a modified MP model with enhanced performance having better conditioning. The structure of lattice filters is briefly discussed next.…”

Adaptive multichannel decision feedback equalization for volterra type nonlinear communication channels

“…After all the feedforward channels are incorporated into the orthogonalization process, the feedback channels are sequentially incorporated into the orthogonalization at transitional stages, and then the orthogonalization continues with eight channel sequential processing stages until the performances can no longer be improved. The orthogonalization of the input signal vector corresponds to the transformation of (10) and (11) into…”

“…Eventhough the mean square error (MSE) performance results of the lower-order versions were presented in [10,11], an adequate probability of error performance is made possible only if the third or the fifth-order Volterra expansion of received signal is achieved in a polynomial perceptron realization [12,13]. Hence, the objective of this paper is to give a generalization of our previous work as a polynomial perceptron implementation using the third-order Volterra expansion with applications to the equalization of nonlinear magnetic recording channels.…”