Abstract
The classical channel estimation method in TDS-OFDM is carried out based on the PN sequence in the GI which suffers from the intersymbol interference of the previous OFDM data symbols. This paper presents a novel data-aided channel estimation method to refine the initial channel estimation obtained from PN sequence. The data symbols are rebuilt based on the log-likelihood ratio (LLR) from the output of the demapper. The second channel estimation is made based on these data symbols. The moving average within the coherence bandwidth is performed on the second channel estimation to reduce noise. Finally, the initial and second channel estimations are combined according to the minimum mean square error (MMSE) criteria. The simulation results demonstrate that the proposed method can significantly improve the mean square error (MSE) performance of the initial channel estimator and the bit error rate (BER) performance of real TDS-OFDM based systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
