Design and Implementation of Underwater Wireless Communication System Using MATLAB

Establishing dependable communication in underwater situations is extremely difficult because of things like noise, multipath propagation, and signal attenuation. In order to properly solve these issues, a comprehensive underwater wireless communication system is introduced. To improve dependability and reduce errors, the system starts by encoding the incoming data bits using channel coding algorithms. For effective transmission, the modulated signal is subsequently converted using Quadrature Phase Shift Keying (QPSK) modulation. An Inverse Fast Fourier Transform (IFFT) and cyclic prefix addition are used to counteract the effects of underwater channel distortion and lessen inter-symbol interference. The quality of the broadcast signal is lowered by a number of impairments, including as fading and additive white Gaussian noise (AWGN). An adaptive equalizer is used to dynamically modify the receiver characteristics in order to counteract these effects and enhance signal recovery. To precisely retrieve the sent information, the received signal is additionally subjected to the Fast Fourier Transform (FFT). The system's performance is evaluated by comparing the output bits with the original input following demodulation and decoding. The bit error rate, throughput, and overall dependability of the suggested system are assessed in order to determine its efficacy through simulation and analysis. All things considered, the suggested underwater wireless communication system shows potential for reliable and effective data transfer in difficult underwater settings.