Stop-and-Go Algorithms for Blind Channel Equalization in QAM Data Communication Systems

This paper presents a framework of stop-and-go algorithms for the blind equalization of QAM data communication systems. Based on the proposed framework, three new stop-and-go algorithms are presented. It is discussed that each of the existing and proposed stop-and-go algorithm forces the equalizer output to match some statistical contour on QAM constellation space. Using computer simulations, it is shown that the Picchi and Prati’s “stop-and-go decisiondirected algorithm”, which forces the equalizer output to lie on point contours, is the best among other stop-and-go algorithms.