Abstract
The nonlinear stochastic resonance (SR) system possesses the ability of taking advantage of noise to enhance the weak signal when the SR system, signal and noise reach to the matching relation. It provides an effective approach to detect the weak magnetic anomaly signal in low signal-to-noise ratio. However, in practical applications, the measured magnetic anomaly signal may be a peak signal, a trough signal, or a combination of the two due to the uncertainty of magnetic target orientation. Hence it is difficult to maintain a good detection performance with single SR system because the SR system output is directly influenced by signal waveforms. Aiming to this, a new strategy using the parallel monostable SR (PMSR) system is proposed, which can ensure the good detection performance regardless of a peak signal, a trough signal, or a combination of the two. Besides, we take the kurtosis index as the criterion and search the optimal system parameters in SR system. The simulation and experiment results indicate its availability, validity and that it can achieve a good detection performance in different waveforms. It can be expected to be widely used in the field of magnetic anomaly detection with PMSR system.
Highlights
Comparing with common target detection methods [1]–[3], magnetic anomaly detection is an effective method for hidden ferromagnetic target detection [4]
The orthonormal basis functions (OBFs) method is proposed by Ginzburg et al, which is designed based on signal waveforms, and has good performance when the signal is submerged in white Gaussian
The above results demonstrate that single stochastic resonance (SR) detector is only effective in detecting the specific part of the signal, but the parallel monostable SR (PMSR) detector can overcome the shortage of single detector and is more applicable in detecting the magnetic anomaly signal with different waveforms
Summary
Comparing with common target detection methods [1]–[3], magnetic anomaly detection is an effective method for hidden ferromagnetic target detection [4]. The minimum entropy (ME) method is built by the probability density function of geomagnetic environment noise samples and considers that the changes are caused by the existence of a ferromagnetic target. The measured magnetic anomaly signal may be a peak signal, a trough signal or the combination of the two due to the uncertainty of magnetic target orientation [17] It is difficult for single SR system to perform well in practical application. This article aims to present a parallel monostable stochastic resonance (PMSR) system to realize the magnetic anomaly signal detection regardless of a peak signal, a trough signal, or a combination of the two. The simulation and experiment are conducted, in which we analyze the performance of PMSR detector in different magnetic anomaly signal waveforms
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