Noise sensitivity of a bio-inspired echolocation model

Abstract

The Spectrogram Correlation And Transformation (SCAT) receiver is often cited as a model of bat auditory system that is responsible for echolocation signal processing and super resolution in range. We explore the response of a simplified baseband version of SCAT (BSCT) for two targets in white Gaussian noise. Knowing the loss of signal-to-noise ratio (SNR) relative to the matched filter (MF) is important for any practical applications of the algorithm. We show that this loss is 6~dB and increases if a critical noise level is surpassed.