MATLAB-Based Direct Sequence Spread Spectrum System Anti-Jamming Performance Simulation

This simulation investigates the anti-jamming performance of Direct Sequence Spread Spectrum (DSSS) systems using MATLAB. The implementation involves generating pseudo-random noise (PN) sequences for spectrum spreading, applying digital modulation techniques (such as BPSK or QPSK), and introducing various interference models including additive white Gaussian noise (AWGN) and narrowband jammers. The simulation framework incorporates error control coding algorithms (such as convolutional codes or Reed-Solomon codes) to enhance system robustness. Key MATLAB functions like pnsequence() for code generation, awgn() for noise addition, and convenc() for channel coding will be utilized. System parameters including spreading factor, signal-to-noise ratio (SNR), and jamming-to-signal ratio (JSR) will be systematically adjusted to evaluate performance under different interference scenarios. Performance metrics such as bit error rate (BER), system capacity, and processing gain will be calculated using statistical analysis functions. The simulation results will include comparative BER curves, spectrum analysis plots, and robustness evaluations to demonstrate how parameter optimization improves anti-jamming capabilities in various operational environments.