Decision feedback equalisation using neural network structures and performance comparison with standard architecture

The paper describes a new approach for a decision feedback equaliser using the multilayer perceptron structure for equalisation in digital communications systems. Results indicate that the perceptron based decision feedback equaliser provides better bit error rate performance relative to the least mean square decision feedback equaliser, especially in high noise conditions, also that bit error rate performance degrades less owing to decision errors and is also less sensitive to gain variation.<>