Open AccessResearch and Implementation of Cross-correlation Symbol Synchronization Algorithm for Long Training Sequence Based on OFDM System
Author(s) -
Guofu Wang,
Guoyong Li,
Faquan Zhang,
Jincai Ye,
Guizhi Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/782/3/032115
Subject(s) - synchronization (alternating current) , symbol (formal) , computer science , orthogonal frequency division multiplexing , additive white gaussian noise , algorithm , interference (communication) , sequence (biology) , noise (video) , channel (broadcasting) , signal (programming language) , artificial intelligence , telecommunications , biology , genetics , programming language , image (mathematics)
Through the analysis of the classic protocol IEEE 802.11a in OFDM system. An OFDM symbol synchronization algorithm based on Long Training Sequence (LTS) is studied. The symbol synchronization estimation using the LTS sequence symbol cross-correlation method can improve the two parameters of the correlation delay D and the synchronization point decision threshold. It reduces the interference of noise on the decision threshold under the Gaussian White Noise (AGWN) channel and the difficulty of FPGA implementation; improves the accuracy of symbol synchronization and the probability of detecting symbol synchronization under a low signal-to-noise ratio. Simulation experiments and FPGA hardware implementation show that compared with conventional algorithms, the system performance is improved.