MAP Estimation of the Ricean K Factor

作者:Beaulieu, Norman C.*; Chen, Yunfei
来源:Canadian Journal of Electrical and Computer Engineering, 2015, 38(2): 130-131.
DOI:10.1109/CJECE.2015.2404036

摘要

An estimator for the Ricean K factor is designed by approximating the maximum a posterior (MAP) probability. The performance of the approximate MAP estimator is examined. Numerical results show that the approximate MAP estimator outperforms the approximate maximum likelihood estimator. It also outperforms the best moment-based estimator at small sample sizes.