Simulation of Gaussian Noise and Interference Analysis

This experiment aims to evaluate the performance and bit error rate of spread spectrum systems by simulating Gaussian noise, single-tone interference, multi-tone interference, and jamming conditions under different duty cycles. Through these simulations, we can comprehensively understand the behavior of spread spectrum systems in various interference environments, providing valuable references and basis for system design and optimization. The implementation typically involves generating Gaussian noise using MATLAB's randn() function with proper scaling for desired SNR levels, creating single-tone and multi-tone interferers with specific frequencies and amplitudes using sine wave generators, and implementing duty cycle control through pulse modulation techniques. The spread spectrum system simulation would include pseudorandom sequence generation using linear feedback shift registers (LFSR), modulation schemes like BPSK or QPSK, and correlation-based detection algorithms for BER calculation through Monte Carlo simulations.