会议专题

Blind SNR estimation based on the accelerated EM algorithm

Blind signal to noise ratio (SNR) estimation is addressed using EM algorithm in this paper.However,the EM algorithm is often criticized for its slow convergence.We proposed an accelerated EM algorithm based SNR estimator which uses the eaccelerated EM algorithm and better initialization.Simulation results show that the new estimators performance is very close to the Root Normalized Cramer-Rao Lower Bound (RNCRLB).The new estimator takes less than 50% time to converge than normal EM based SNR estimator and this is very important for adaptive satellite communication.

EM algorithm blind estimation parameter estimation SNR

Tao Wu Jian Zhang

Institute of Communication Engineering,PLA University of Science and Technology Nanjing,China Institute of China Electronic Equipment System Engineering Corporation Beijing,China

国际会议

2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

秦皇岛

英文

60-63

2010-11-05(万方平台首次上网日期,不代表论文的发表时间)