Research Article
Soft Decision Feedback Turbo Equalizer Based on Channel Estimation
@INPROCEEDINGS{10.1007/978-3-319-73317-3_60, author={Xingyuan You and Lintao Liu and Haocheng Ding}, title={Soft Decision Feedback Turbo Equalizer Based on Channel Estimation}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Channel estimation Turbo equalizer Decision feedback equalizer Iteration}, doi={10.1007/978-3-319-73317-3_60} }- Xingyuan You
Lintao Liu
Haocheng Ding
Year: 2018
Soft Decision Feedback Turbo Equalizer Based on Channel Estimation
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_60
Abstract
In order to improve the system BER performance, combining the decoding structure of the feedback iteration in Turbo code, a soft decision feedback equalizer based on channel estimation (CE-SDFE) was proposed. In the initial iteration, CE-SDFE is equivalent to RLS-DFE. In the next iteration, the feedback LLR information is utilized to reconstruct the IQ symbol sequence. The feedback symbol sequence is regenerated by using the IQ symbol sequence and the estimated channel impulse response. We use the weighted sum of the received symbol sequence and the feedback symbol sequence as the input of feedforward filter, and the weighted sum of the soft decision symbol sequence and the reconstructed IQ symbol sequence as the input of feedback filter. The weighting coefficient is generated according to the signal-to-noise ratio and multipath path number. The simulation results show the effectiveness of the proposed algorithm.
