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

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.