Multi-User Detection Analysis via Aitken-δ2 EM Acceleration Algorithm
The EM iterative algorithm is commonly used in recent years for missing data, which has the character of easy and popular applicability. But the EM algorithm has a fatal weakness that the convergence speed is slowly; Acceleration of the EM algorithm using the Aitken method is proposed in order to solve this problem.In Multi-user Detection, via this accelerated algorithm, we get a good performance which trends to ML performance, and compared its speed of convergence with the EM algorithm that Aitken-acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.
Helen Zhang, Gang Shen and David Jin
J. L. Xian and J. W. Li, "Multi-User Detection Analysis via Aitken-δ2 EM Acceleration Algorithm", Advanced Materials Research, Vols. 225-226, pp. 284-288, 2011