The Research of Improved Blind Multiuser Detection Algorithm Based on Lagrange Neural Network
This work is support by ShanXi natural science fund (20051038).
Based on minimum the output energy (MOE) , this paper constructs a new object function from combining penalty function with Lagrange function, and proposed an improved blind multiuser detection algorithm based on Lagrange neural network. The theory analysis and simulation shows that the improved algorithm has lower computational complexity, faster convergence speed and lower bit error rate.