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Research on Synchronization Technology of Orthogonal Frequency Division Multiplexing System

Author: JiangXiuWei
Tutor: YaoJianGuo
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Orthogonal Frequency Division Multiplexing Synchronous Cyclic prefix ML algorithm Training sequence Schmidl Cox algorithm
CLC: TN919.3
Type: Master's thesis
Year: 2012
Downloads: 33
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Abstract


Orthogonal frequency division multiplexing (OFDM), with its high data transfer rate, the resistance to multipath fading ability, spectrum utilization of the advantages of high, and has been widely used in digital television, digital audio broadcasting and IEEE802.11a wireless LAN standard field, and will become one of the core technology for next-generation mobile communications system. Because of the \Symbol timing error causes the system to produce the inter-symbol interference, the frequency offset of the carrier will destroy the orthogonality between the respective sub-carriers, so that mutual interference between sub-carriers, and these factors will lead to the deterioration of the performance of the system as a whole. Therefore, to ensure that the performance of the OFDM system, accurate symbol timing synchronization and carrier frequency offset estimation is the most basic conditions. This paper describes the research status of the research background and OFDM system synchronization technology, some of the key technologies of the basic principle of OFDM technology, and OFDM systems, the principle of synchronous technology, describes the system synchronization process, analysis of a variety of synchronization errors of OFDM system performance, indicating a need for system synchronization technology research. Second, focus on the principle of synchronization algorithm based on cyclic prefix ML ML algorithm performance is analyzed by simulation. ML algorithm using the cyclic prefix of the OFDM symbol in front of the symbol timing and carrier frequency offset estimate higher computational complexity the MC algorithm MC algorithm can effectively reduce the computational complexity of this problem, but the larger the estimation error . Combined with ML algorithm and the characteristics of the MC algorithm proposed the ML algorithm improved estimation performance by simulation results show that the improved ML algorithm can effectively reduce the computational complexity. Finally, a detailed analysis of Schmidl Cox algorithm based on training sequence. Schmidl Cox algorithm can achieve frequency joint synchronization, timing synchronization error is larger. To address this issue, two improved algorithms: Minn algorithms and Park algorithm. These two algorithms can effectively improve the performance of the timing synchronization, but only be able to complete the timing estimation. When a single training symbol frequency synchronization algorithm is proposed for this problem, through simulation analysis shows that the new algorithm can accurately complete timing synchronization, and under the premise to ensure the performance of the frequency offset Schmidl Cox algorithm effectively reduce the resource overhead and computational complexity.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Data communication > Data transmission technology
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