A novel BER model for turbo coding over Rayleigh channel

Geng Wei; Wenyu Liu; Bin Feng

doi:10.1117/12.655654

4 January 2006 A novel BER model for turbo coding over Rayleigh channel

Geng Wei, Wenyu Liu, Bin Feng

Author Affiliations +

Proceedings Volume 5985, International Conference on Space Information Technology; 598505 (2006) https://doi.org/10.1117/12.655654
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

The sensitivity of channel bit error rate (BER) to the turbo coding parameters (i.e., code rate, iterative number and interleave length, etc) and the wireless channel statistic enlightens us to model a BER for turbo coding over Rayleigh channel. The model presented in this paper synthetically considers and quantificationally analyzes the impacts of all the coding parameters and the wireless channel statistic on the BER, and then emphasizes a simple equation that relates the BER at the encoder to the relevant coding parameters. Based on this model, the BER performance can be estimated even before channel coding given certain coding parameters set and channel statistic. The simulation results show that the model can handle the actual values with high accuracy. The maximal average predictive error is around 0.07%. Moreover, the proposed model is very regular and simple, and can be extended to other cases. These characteristics will make it more useful in practice.

Citation Download Citation

Geng Wei, Wenyu Liu, and Bin Feng "A novel BER model for turbo coding over Rayleigh channel", Proc. SPIE 5985, International Conference on Space Information Technology, 598505 (4 January 2006); https://doi.org/10.1117/12.655654

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE