Maximum likelihood decoding and burst error correction
Davidson, Charles Alexander
Geist, John M.
MetadataShow full item record
A brief discussion of basic encoding and decoding on noisy channels is presented to provide a background for the experimental portion of this research. A portioned 3 state Gilbert model is used to model a burst channel and a method of calculating error-sequence probabilities using this model is introduced. Error sequence probability calculations are made using a (7,3) maximal length code and a (15.7) BCH code. Observations are made about the general type of decoding rule to use to give the lowest probability of decoding error on burst channels when using an interleaving technique.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Spyridis, Konstantinos (Monterey, California. Naval Postgraduate School, 2010-06);All modern communication systems use some form of forward error correction coding. Generally, coding gain is improved when soft decision decoding is used instead of hard decision decoding. While soft decision decoding is ...
Caldwell, James (2013-06-25);Embodiments in accordance with the invention utilize Reed Solomon (RS) forward error correction (FEC) in conjunction with M-ary Bandwidth Efficient Modulation (BEM) schemes and soft decision decoding to improve the robustness ...
Performance of FFH/BFSK systems with convolutional coding and soft decision Viterbi decoding over Rician fading channels with partial-band noise interference [electronic resource] Theodoss, Michael D. (Monterey, California. Naval Postgraduate School, 1995-12);An error probability analysis of a communications link employing convolutional coding with soft decision viterbi decoding implemented on a fast frequency hopped, binary frequency shift keying (FFH(BFSK) spread spectrum ...