scholarly journals A Novel Underwater Location Beacon Signal Detection Method Based on Mixing and Normalizing Stochastic Resonance

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1292
Author(s):  
Guolong Liang ◽  
Guangming Wan ◽  
Jinjin Wang ◽  
Xue Wang
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Water Immersion ◽  
Pulse Signal ◽  
Signal Frequency ◽  
Recording Device ◽  
Aviation Accidents ◽  
Novel Approach ◽  
Electronic Recording ◽  
Beacon Signal

A flight data recorder (FDR) is an electronic recording device placed in an aircraft for the purpose of facilitating the investigation of aviation accidents. If an aircraft crashes into water, an underwater locator beacon (ULB), which is installed on the FDR, is triggered by water immersion, and emits an ultrasonic 10 ms pulse signal once per second at 37.5 kHz. This pulse signal can be detected by sonar equipment. However, the ULB signal only can be detectable 1–2 kilometers from the surface in normal conditions. Stochastic resonance (SR) is a rising theory in the field of weak signal detection. The classical stochastic resonance limits state that the input must be small-parameter and the sampling frequency must be 50 times higher than the signal frequency. It cannot be applied to the ULB signal detection. To resolve this problem, this paper presents a novel approach named mixing and normalizing stochastic resonance (MNSR). By mixing the ULB signal and normalizing SR system parameters, MNSR provides a new way to detect weak ULB signal. Meanwhile, we propose the parameters adjustment method of MNSR. We prove the effectiveness through numerical simulation. An experiment in a tank is employed to verify the practicability of this method.

scholarly journals Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Dongying Han ◽  
Xiao Su ◽  
Peiming Shi
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Signal Amplitude ◽  
Rolling Bearing ◽  
Signal Frequency ◽  
Intrinsic Mode Functions ◽  
Mode Decomposition ◽  
Gear Fault ◽  
Weak Fault ◽  
Noisy Background

For solving detection problems of multifrequency weak signals in noisy background, a novel weak signal detection method based on variational mode decomposition (VMD) and rescaling frequency-shifted multistable stochastic resonance (RFMSR) with analytical mode decomposition (AMD) is proposed. In this method, different signal frequency bands are processed by rescaling subsampling compression to make each frequency band meet the conditions of stochastic resonance. Before the enhanced signal components are synthesized, they are processed to achieve the enhanced signal by means of AMD, leaving only the enhanced sections of the signal. The processed signal is decomposed into intrinsic mode functions (IMF) by VMD, in order to require the detection of weak multifrequency signals. The experimental analysis of the rolling bearing inner ring fault and gear fault diagnosis demonstrate that the proposed method can not only enhance signal amplitude, reduce false components, and improve the VMD algorithm’s accuracy, but also effectively detect weak multifrequency signals submerged by noise.

Research on mud pulse signal detection based on adaptive stochastic resonance

2017 ◽  
Vol 157 ◽  
pp. 643-650 ◽  
Author(s):  
Xingsen Zhang ◽  
Hongxia Zhang ◽  
Jiashu Guo ◽  
Lianzhang Zhu ◽  
Shanshan Lv
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Pulse Signal

Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors

2007 ◽  
Vol 55 (7) ◽  
pp. 3172-3184 ◽  
Author(s):  
Hao Chen ◽  
Pramod K. Varshney ◽  
Steven M. Kay ◽  
James H. Michels
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Resonance Effect

STOCHASTIC RESONANCE IN SATURATION NONLINEARITIES BASED ON SIGNAL DETECTION

2008 ◽  
Vol 08 (02) ◽  
pp. L229-L235 ◽  
Author(s):  
LEI ZHANG ◽  
JUN HE ◽  
AIGUO SONG
Keyword(s):  
Signal Detection ◽  
White Noise ◽  
Stochastic Resonance ◽  
Gaussian White Noise ◽  
Detection Performance ◽  
Sinusoidal Signal ◽  
Signal Noise ◽  
Noise Ratio

Recently, it was reported that some saturation nonlinearities could effectively act as noise-aided signal-noise-ratio amplifiers. In the letter we consider the signal detection performance of saturation nonlinearities driven by a sinusoidal signal buried in Gaussian white noise. It is showed that the signal detection statistics still undergo a nonmonotonic evolution as noise is raised. We also particularly show that an improvement of the SNR in terms of the first harmonic does not imply the possibility to improve the signal detection performance through stochastic resonance. The study might also complement other reports about stochastic resonance in saturation nonlinearities.

Magnetic anomaly signal detection using adaptive stochastic resonance system

2021 ◽  
Author(s):  
Zhongyan Liu ◽  
Yujing Xu ◽  
Wang Liu ◽  
Qi Zhang ◽  
Jiafei Hu ◽  
...  
Keyword(s):  
Signal Detection ◽  
Stochastic Resonance ◽  
Magnetic Anomaly ◽  
Resonance System

Electronic recording device for continuous measurement of ?-radiations in radioactive gases

1964 ◽  
Vol 7 (5) ◽  
pp. 442-445
Author(s):  
A. F. Vinogradov ◽  
S. P. Rybak ◽  
M. D. Shibanova
Keyword(s):  
Continuous Measurement ◽  
Recording Device ◽  
Electronic Recording ◽  
Radioactive Gases

scholarly journals Control and Monitoring Vehicle using Arduino and GSM Module

2021 ◽  
Vol 9 (VI) ◽  
pp. 2607-2608
Author(s):  
Dr. Rajendra M. Rewatkar
Keyword(s):  
Black Box ◽  
Road Accident ◽  
Integrated System ◽  
Aviation Industry ◽  
Recording Device ◽  
Crash Analysis ◽  
Rescue Operation ◽  
Aviation Accidents ◽  
Emergency Rescue ◽  
Control And Monitoring System

The Black Box control and monitoring system for vehicles concept is derived from the aviation industry, a flight recorder, colloquially known as a black box; although it is now orange-colored for easy search, is an electronic recording device placed in an aircraft for the purpose of facilitating the investigation of aviation accidents and incidents. With the advancement in technology and cost coming down, in our project we attempt to build similar device for our cars, not only this device will help us in post-crash analysis but also it will help us in quicker emergency rescue operation. Our research has been targeted towards building an integrated system for emergency rescue services in the event of a road accident. The purpose of the project is to find the accident location using GPS module and to send this location by means of sending a message using GSM module to the pre-coded number. This system is usually placed inside the vehicle. It reduces the time it takes for emergency rescue to arrive at the crash location.

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