Comparison of Two Neural Networks in MC-CDMA Multi-user Detection

摘要

MC-CDMA is a thriving topic in recent years. Multi-user interference is also very severe as in DS-CDMA. ML method is the best multi-user detection, but it has a computational complexity exponentially increased with the number of users. Mean field annealing and chaotic neural network are two promising optimum techniques. This paper applies them into the ML detection, comparison of the two methods is made.