Weak signal detection based on multiple auto-correlation techniques

Abstract EN

This study presents the performance of the auto-correlation methods for detecting weak signals, where the signal level is much less than the noise level.

Double and triple auto-correlation techniques are used to improve the detection performance compared with the single autocorrelation.

Simulation results obtained by MATLAB programs show that the multiple correlation techniques outperform the single correlation in terms of probability of detection and probability of false alarm versus signal to noise ratio This study presents the performance of the auto-correlation methods for detecting weak signals, where the signal level is much less than the noise level.

Double and triple auto-correlation techniques are used to improve the detection performance compared with the single autocorrelation.

Simulation results obtained by MATLAB programs show that the multiple correlation techniques outperform the single correlation in terms of probability of detection and probability of false alarm versus signal to noise ratio SNR.