人体局域网接收端符号同步与载波频率同步算法研究

A Research of the Symbol Synchronization and Carrier Frequency Synchronization Algorithms in Body Area Networks

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, body area networks （BANs） are widely used in personal real time health monitoring and remote medical consultation. Because the transmission data is the human body vital signs, how to accurately obtain the best demodulation and decision will directly affect the performance of communication system. The symbol timing synchronization can locate the position of every data frame, while the carrier frequency synchronization is used to correct the errors of the frequency and phase in the process of transmission. In this paper, the symbol timing synchronization and carrier frequency synchronization are introduced at the receiver and analyze the performance of the algorithms by simulation. The experimental results show that the symbol synchronization and carrier synchronization algorithm can c effectively improve the quality of data communication.