一种水声自适应通信的信噪比估计方法

A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication

针对动态通信中的信噪比(SNR)估计问题,提出了一种适用于跨介质链路自适应通信的SNR估计方法。利用低导频占用率信道估计算法过程中的重构数据对最小均方误差SNR估计算法进行改进,实现时变信道条件下的SNR跟踪。仿真结果表明,所提方法在高SNR条件下能够获得高准确度的估计结果,在低SNR条件下的估计结果能够快速下降,适合链路自适应通信的速率策略调整。所提方法给出的自适应速率调整策略可以有效降低功耗,提高通信数据率。

To solve the problem of signal-to-noise ratio(SNR) estimation for dynamic communication, an SNR estimation method suitable for underwater acoustic adaptive communication in trans-media heterogeneous networks was proposed. The minimum mean square error SNR estimation algorithm was improved by using the reconstructed data in the process of a low pilot occupancy channel estimation algorithm to achieve SNR tracking under time-varying channel conditions. Simulation results show that the proposed method can obtain highly accurate SNR estimation results under high SNR conditions, and the SNR estimation results can decline rapidly under low SNR conditions, which is particularly suitable for the rate-adjustment strategy of link adaptive communication. The adaptive rate adjustment strategy given by the proposed method can effectively reduce the power consumption and improve the communication data rate.