Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
Digital Communication Receivers: Synchronization, Channel Estimation, and Signal Processing
A theoretical framework for soft-information-based synchronization in iterative (Turbo) receivers
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Code-aided frame synchronization and phase ambiguity resolution
IEEE Transactions on Signal Processing
MHOMS: high-speed ACM modem for satellite applications
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Joint iterative channel estimation and decoding in flat correlated Rayleigh fading
IEEE Journal on Selected Areas in Communications
Algorithms for iterative decoding in the presence of strong phase noise
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Wireless Communications
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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 timevarying 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. We compare our method to the well known alternative consisting in discretizing the phase. 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.