TY - GEN
T1 - Blind carrier phase estimation and data detection in turbo coded transmissions
AU - Lehmann, Frederic
PY - 2008/9/29
Y1 - 2008/9/29
N2 - We present a joint phase estimation and decoding method for convolutional turbo codes in the presence of strong phase noise. In order to overcome the problem of phase ambiguity and cycle slips, a combined state-space model for the time-varying phase and the component convolutional codes is introduced. The proposed algorithm uses a Gaussian sum approach to approximate the multimodal a posteriori probability density function (pdf) of the phase in a blind context. Monte-Carlo simulations for the turbo code used in the DVB-RCS standard show that the performances of the proposed scheme are close to decoding with perfect knowledge of the phase.
AB - We present a joint phase estimation and decoding method for convolutional turbo codes in the presence of strong phase noise. In order to overcome the problem of phase ambiguity and cycle slips, a combined state-space model for the time-varying phase and the component convolutional codes is introduced. The proposed algorithm uses a Gaussian sum approach to approximate the multimodal a posteriori probability density function (pdf) of the phase in a blind context. Monte-Carlo simulations for the turbo code used in the DVB-RCS standard show that the performances of the proposed scheme are close to decoding with perfect knowledge of the phase.
UR - https://www.scopus.com/pages/publications/52349109896
U2 - 10.1109/ISIT.2008.4595315
DO - 10.1109/ISIT.2008.4595315
M3 - Conference contribution
AN - SCOPUS:52349109896
SN - 9781424422579
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1883
EP - 1887
BT - Proceedings - 2008 IEEE International Symposium on Information Theory, ISIT 2008
T2 - 2008 IEEE International Symposium on Information Theory, ISIT 2008
Y2 - 6 July 2008 through 11 July 2008
ER -