Underwater ambient noise model and verification in the underwater OFDM system

The paper presents a method toa generate the ambient noise that characterizes the experimental data measured in a specific shallow water area by applying the FTR filter method. The parameter sets of the filter is examined by fitting the power spectrum density (PSD) of the noise from the simulation with that of the real noise by using the optimization algorithm Lp-norm method (LPNM). The results of ambient noise simulation show that the PSD trend removal of the generated noise is in agreement with that of the measured one. The paper also simulate a channel profile from the data along with LPNM method. The ambient noise from the simulation is added for the simulated channel for evaluating the system performance in term of symbol error rate (SER) values. The SER values are observed at different frequencies, different bandwidths and with different modulation schemes. The simulation results enable us to propose the frequency, the bandwidth as well as the modulation technique suitable to the system under the effects of the modeled ambient noise.