This research investigates the detection of direct sequence spread spectrum (DSSS) signals, comparing the performance of a traditional energy detector with that of a cross-correlation detector. While energy detectors are widely used, they suffer from reduced sensitivity at low signal-to-noise ratios (SNR) and require accurate noise power estimation. In contrast, the cross-correlation detector utilizes the processing gain of DSSS signals to achieve higher detection accuracy without needing prior noise estimation. Using MATLAB simulations, Receiver Operating Characteristic (ROC) curves were generated for both detectors. Results show that the cross-correlation detector achieves up to 30% higher probability of detection (PD) at a false alarm probability (PFA) of 0.1 and SNR = –11 dB compared to the energy detector. This demonstrates the cross-correlation detector’s robustness and suitability for reliable DSSS signal detection in noisy environments.
Skef et al. (Mon,) studied this question.