Channel Estimation model for Underwater Acoustic Sensor Network

The underwater Acoustic Sensor Network is proposed in this paper, where the communication channel estimation model is designed using Rayleigh Fading method, where the Gaussian process for complex values were used. The channel is called Rayleigh Fading since its phase is uniformly distributed in the range of (O, 2 pi) for the zero value of the coefficients of amplitude and phase for time-varying delay line complex channel. The channel is modeled based on the Gaussian distribution for the rapidly time-varying delay factor. Since the scattering nature of underwater communication raised the problem of multi path fading, Doppler delay, Doppler shift and Doppler spread. These all issues were tried to solve based on the maximum entropy modeling method. In this method the Doppler spread were identified in between the transmitted signal and the received signal. Also, as the communication under the water gives scattering nature of transmission, the bit transmission rate and bit error rate must be calculated based on channel transmission scheme using OFDM. Here also, the transmission rate with its round trip time calculated along with its channel utilization efficiency and drawn the plot between signal-to-noise ration and signal-error-rate. In this paper all the proposed method is tested with matlab codes and their result are shown in terms of different plots.