Indonesian Journal of Electrical Engineering and Computer Science
Vol 26, No 2: May 2022

Performance comparison of some weak signal detection techniques

Sarah Sabah Mohammed (Al-Mustansiryah University)
Maher K. Mahmood Al-Azawi (Al-Mustansiryah University)



Article Info

Publish Date
01 May 2022

Abstract

Performance comparison of some weak signal detection techniques is introduced. This comparison is very necessary since different applications require different operating conditions such as signal to noise ratio SNR, bandwidth, coherency, processing time and complexity. Three methods for detecting weak signals are considered. These are based on chaos theory, wavelet transform, and stocastic resonance. A detection algorithm based on a rectangular region in phase space plane is suggested in chaos method. The stocastic resonance method is considered in this research, as it is used for signal detection in underwater at a certain frequency. Simulation results obtained from MATLAB programs verify the studied methods giving an estimation of probability of detection and probability of false alarm versus SNR.

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