Fiber Amplifier Model with Signal Processing Implementation

Fiber amplifiers are essential components widely used in optical communication systems. They enhance both the intensity and quality of optical signals, thereby improving the overall performance of fiber optic communication networks. When the fiber amplifier model receives pulsed optical input, it employs nonlinear optical effects and amplification algorithms to amplify and reconstruct the input signal. The core implementation typically involves solving the nonlinear Schrödinger equation using split-step Fourier methods to simulate signal propagation and gain dynamics. Ultimately, the output delivers a significantly amplified waveform compared to the original input signal. This enhanced waveform undergoes subsequent digital signal processing stages including finite impulse response (FIR) filtering, quadrature amplitude modulation (QAM), and coherent demodulation techniques. These processed signals can then be utilized for transmitting high-speed data, high-resolution images, and various other forms of information across modern communication infrastructures.