作者：
Kim, JWYoon, WSLG Informat & Commun Ltd
Digital Commun Dept Digital Transmiss Syst Lab Dongan Gu Anyang 431080 Kyongki Do South Korea Ajou Univ
Dept Elect Engn Paldal Gu Suwon 442749 South Korea
For the iterative decoding of turbo codes it is necessary to know the channel stare parameters in order to estimate the a posteriori probability of the information bits. The authors propose a new iterative channel est...
详细信息
For the iterative decoding of turbo codes it is necessary to know the channel stare parameters in order to estimate the a posteriori probability of the information bits. The authors propose a new iterative channel estimator using the softoutput of a turbo code, and analyse the performance of the turbo code over a correlated flat Rayleigh fading channel. The channel estimation error of the proposed channel estimator is reduced according to the number of iterations. Simulation results show that the use of the proposed iterative channel estimator improves turbo code performance.
A novel receiver architecture for the serial concatenation system of a convolutional code and a Gaussian minimum shift keying (GMSK) modulator is proposed. A maximum a pasteriori probability algorithm for the multiple...
详细信息
A novel receiver architecture for the serial concatenation system of a convolutional code and a Gaussian minimum shift keying (GMSK) modulator is proposed. A maximum a pasteriori probability algorithm for the multiple differential detection (MDD) of GMSK signals, which accepts a priori information and provides a soft-output for the subsequent convolutional decoder, is derived. The soft-output of the decoder is fed back to the MDD receiver for further improvement thus resulting in an iterative decoding structure.
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