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最大似然参数估计水声通信帧同步技术研究

Frame synchronization for underwater acoustic communication based on maximum likelihood estimation

  • 摘要: 水声通信中传统帧同步方法仅仅依赖于匹配滤波输出的相关系数,在复杂信道条件下,容易出现误触发和漏同步。针对这一问题,分析了水声信道中噪声、多普勒和多径对帧同步的影响,提出了一种基于参数估计的帧同步方法.在同步过程中引入参数估计,将信号参数作为检测判决依据,以降低误触发率和漏检率;同时对最大似然估计算法进行适当简化,以降低实现复杂度。计算机仿真实验验证了新的帧同步方法相对于传统方法在定时精度和相关系数方面的优势。实际水声通信实验结果表明,无论是静止平台还是移动平台之间的通信,新的帧同步方法均能有效提高匹配滤波器输出的相关系数,提升接收机检测能力,从而避免出现误触发和漏同步。

     

    Abstract: Traditional frame synchronization methods for underwater acoustic communication (UWAC) merely depend on correlation coefficient where synchronization signal detection is concerned, false triggering and missed synchronization can hardly be avoided in complex UWAC channels. In order to solve the problem, we first analyze the interference on frame synchronization from noise, Doppler and multipath; then a new frame synchronization scheme based on parameter estimation is proposed. By applying the parameter estimation technique, we detect the synchronization signal according to the estimated parameters, so as to reduce the false triggering rate and missed synchronization rate. We also simplify the maximum likelihood estimation to reduce computational cost. Simulation results indicate that this new scheme outperforms the traditional method in terms of delay resolution and correlation coefficient. Both static and mobile communication experimental results show that the correlation coefficient of the new scheme is higher than that of the traditional one. By applying this new method, the detection capacity of the receiver is improved, thus false triggering rate and missed synchronization rate can be reduced.

     

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