MATLAB Function Simulation of Spread Spectrum Communication System

Resource Overview

Simulation of a CDMA spread spectrum communication system using MATLAB functions. The system models synchronous communication for 6 users, each employing Gold codes of length L=31 for spreading, with transmission over an AWGN channel. The receiver uses matched filter detection for signal recovery. The simulation plots bit error rate (BER) curves for N=10000 transmitted bits across SNR values ranging from 0 to 15 dB, demonstrating system performance under varying noise conditions.

Detailed Documentation

The simulation utilizes MATLAB functions to implement an extended spread spectrum communication system. We design a synchronous CDMA system supporting 6 users, where each user employs Gold codes with length L=31 for spectrum spreading. The transmission channel is modeled as an Additive White Gaussian Noise (AWGN) channel. At the receiver end, matched filter detection is implemented for signal demodulation. In the MATLAB implementation, key functions include: - Gold code generation using shift register sequences - Spreading operations through direct sequence modulation - AWGN channel simulation using randn() function with proper SNR scaling - Matched filter implementation through correlation detection - BER calculation by comparing transmitted and received bit sequences The simulation generates BER performance curves by transmitting N=10000 bits and evaluating system performance across SNR values from 0 to 15 dB. These curves provide valuable insights into the system's noise tolerance and detection capabilities, with the MATLAB code efficiently handling the large-scale Monte Carlo simulation required for accurate BER estimation.