Design of spread spectrum communication system based on multipath signal synthesis

A low-complexity anti-multipath interference spread spectrum communication system is proposed to address shortcomings in traditional anti-multipath technology, such as complex structures and high resource consumption. The system utilizes a fast Fourier transform to capture pseudo-noise code signals and simultaneously detect multipath signals. Moreover, the signal-to-noise ratio (SNR) of each path signal is calculated, and the multipath signal is synthesized through the designed optimal SNR synthesis method to improve the SNR of the demodulated signal to reduce the bit error rate. MATLAB is used to perform functional simulations of the system to verify its feasibility. The simulation results show that the system can successfully detect and synthesize multipath signals and achieve lower communication error rates than traditional code division multiple access (CDMA) systems.

Automated summary

A low-complexity anti-multipath interference spread spectrum communication system is proposed, which uses fast Fourier transform to capture pseudo-noise code signals and simultaneously detect multipath signals. By calculating the signal-to-noise ratio and using the optimal SNR synthesis method, the SNR of the demodulated signal is improved, reducing the bit error rate.