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随着无线技术的发展,人体局域网被广泛用于个人实时健康监控和远程医疗咨询。由于传输的是人体生命体征信号数据,如何准确地获得最佳的解调和判决直接影响到通信系统的性能。符号定时同步能够精确的定位数据帧的每一个比特位置,而载波频率同步用于修正传输过程中产生的频率和相位误差。本文在接收端引入了符号定时同步和载波频率同步来进行更精确的定时同步,并通过仿真分析其算法性能。由仿真结果表明,该符号同步和载波同步算法能够有效的提高数据通信质量。
With the development of wireless technology, the human body area network is widely used for personal real-time health monitoring and telemedicine consulting. Due to the transmission of vital signs signal data, how to get the best demodulation and decision accurately has a direct impact on the performance of the communication system. Symbol timing synchronization enables precise positioning of each bit position of a data frame, while carrier frequency synchronization is used to correct for frequency and phase errors generated during transmission. This paper introduces the symbol timing synchronization and carrier frequency synchronization at the receiving end for more precise timing synchronization, and analyzes the performance of the algorithm through simulation. The simulation results show that the symbol synchronization and carrier synchronization algorithms can effectively improve the data communication quality.