Evaluation of the method based on PSR techniques for target detection in reverberation

Abstract

In this paper, we consider the problem of target detection in the presence of sea-bottom reverberation. The method based on parameter-induced stochastic resonance (PSR) is adopted, and the non-Rayleigh properties of reverberation, as well as some random characteristics of target echoes, such as random phase and amplitude, are involved. Numerical simulations are carried out to evaluate the performances of the method based on PSR techniques versus the conventional method. The results show that when the number of scatterers that contribute to the reverberation at the same time becomes smaller, the receiver based on PSR techniques will perform better and be more efficient for reverberation suppression than the conventional receiver.

Evaluation of bistable systems for binary signal detection in symmetric non-Gaussian noise

“…(14), with the term of ζ 3 i being replaced by the scattered signals with the same statistics. It has been shown that the smaller the number of scatterers, the heavier the tails of the reverberation noise PDF [31].…”

“…In Gaussian noise, the LC detector is the optimal and its performance cannot be improved by any other techniques. However, non-Gaussian noise is often encountered in real systems, such as acoustic noise in ocean [28], reverberation in active sonar [29][30][31], atmospheric noise in radar or wireless communication [32], and fluctuations in biological systems [33]. It has been shown that in some nonGaussian noise, the performance of LC detector can be improved * Corresponding author.…”