Novel blind encoder parameter estimation for turbo codes
Document Type
Article
Publication Date
11-29-2012
Abstract
A novel blind parameter-estimation method, which identifies a turbo encoder, is proposed in this paper. The blind estimator is designed using an iterative expectation-maximization (EM) algorithm. To facilitate this innovative blind estimation scheme, we transform the recursive systematic convolutional (RSC) encoder into a non-systematic convolutional encoder preceded by a feedback encoder. The effect of the separate feedback encoder on the state sequence of the forward convolutional encoder will be studied. Besides, the effectiveness of our proposed new scheme will be evaluated by Monte Carlo simulations. © 1997-2012 IEEE.
Publication Source (Journal or Book title)
IEEE Communications Letters
First Page
1917
Last Page
1920
Recommended Citation
Debessu, Y., Wu, H., & Jiang, H. (2012). Novel blind encoder parameter estimation for turbo codes. IEEE Communications Letters, 16 (12), 1917-1920. https://doi.org/10.1109/LCOMM.2012.102612.121473