Detection of extremely weak NQR signals using stochastic resonance and neural network theories

Shao, Weihang; Barras, Jamie; Kosmas, Panagiotis

doi:10.1016/j.sigpro.2017.06.027

Cited by 26 publications

(6 citation statements)

References 16 publications

(24 reference statements)

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“…Mine action is considered a highly technical activity and the engineering lens has been central to analysis of technological interventions to support clearance. This is demonstrated by academic scholarship that reflects a predominant focus on clearance and clearance technologies (Gader et al, 2001; Hussein & Waller, 2000; Shao et al, 2018; Smith, 2003; Xiang & Sabatier, 2003). As such, it is narrowly acknowledged as enabling the attainment of many peacebuilding objectives (Bryden, 2005; Jennings et al, 2008; Njeri, 2016).…”

Section: Interactions Between Mine Action and Developmentmentioning

confidence: 99%

Landmine Clearance and Peacebuilding: Evidence from Somaliland

Ikpe

Njeri

2021

Journal of Peacebuilding & Development

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The mine action sector has struggled to demonstrate the socioeconomic benefits of mine clearance. Previous academic studies have made important contributions but have been limited in offering in-depth discussions of causal pathways. This paper seeks to fill that gap. It proposes a new framework, the Mine Clearance and Peacebuilding Synergies (MPS) framework that combines the Humanitarian Mine Action Peacebuilding Palette, the Mine Action- Sustainable Development Goals (SDGs) framework and theoretical considerations from the Infrastructure as Peacebuilding framework to interrogate this interaction. Using Somaliland's post-conflict reconstruction as a case study, we analyze qualitative and quantitative data to map both the direct and indirect benefits of mine clearance in relation to infrastructure development. We find that mine clearance can influence both economic and physical reconstruction through its impact on dominant economic sectors as well as critical strategic infrastructure, including ports and roads, and demonstrate the synergies therein with an array of SDGs.

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Section: Interactions Between Mine Action and Developmentmentioning

confidence: 99%

Landmine Clearance and Peacebuilding: Evidence from Somaliland

Ikpe

Njeri

2021

Journal of Peacebuilding & Development

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“…A completely different approach to increase the SNR can be adopted based on stochastic resonance (SR) theory. It can take advantage of the noise to enhance the weak signals by some nonlinear systems [43], [44]. Langevin equation having double-well potential property is typical bistable nonlinear system, and then system model can be expressed as:…”

Section: B Bistable Stochastic Resonance Systemmentioning

confidence: 99%

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

et al. 2020

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Given that signal is weakened to a certain extent in the process of noise suppression using mainstream method, and that new noise is introduced by signal processing system, causing the decrease of detection performance, to improve the performance of detection to BPSK signal under the condition of strong noise and no prior information, the detection algorithm of BPSK signal of bistable stochastic resonance model based on scale change is proposed in this study. Using classical bistable stochastic resonance (BSR) system, only low-amplitude and low-frequency periodic signal can be processed. Scale change is first made to BSR in this study, verifying that BSR can be applied to high-frequency BPSK signal under high sampling frequency condition, and nonlinear threshold detection system is designed following Neyman-Pearson criterion to deduce and quantitatively show error rate of detector. Besides, complete flow for signal detection was built by taking it as feedback quantity to adjust the system parameters adaptively. Scale change feasibility and applicability of algorithm proposed in this study were verified through simulation experiment, which lays the theoretical basis for the detection of weak BPSK signal under low signal-to-noise ratio (SNR).

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“…We apply AML subsequently after our WIC cancels the interference. Applying other methods such as spectrum analysis and neural network [15] instead of AML is also possible, which is our future work. The AML algorithm estimates the parameters A k ,f k , and T * k in Eq.…”

Section: B Nqr Signal Identification Based On Approximate Maximum LImentioning

confidence: 99%

A novel wavelets method for cancelling time-varying interference in NQR signal detection

2019

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Interference cancelation is a very important aspect of Nuclear Quadrupole Resonance (NQR) signal detection, and can become really difficult when the interference is considerably time-varying. We propose a novel wavelets method to effectively remove (or reduce) time-varying interference in the data and facilitate a valid detection of the NQR signal. The proposed algorithm uses an extended Gabor-Morlet wavelets basis to approximate interference with complicated time-varying properties. The proposed algorithm utilizes our well designed cost function to extract the interference components out from NQR data strategically.Mathematical derivations and numerical results from both simulated and measured data demonstrate that the proposed algorithm can precisely cancel strong time-varying interference without distorting signal of interest improving NQR detection, even when interference and signal of interest are severely overlapped.The proposed algorithm is beyond normal wavelets methods such as standard wavelets denoising methods, and exhibits better performance than normal Fourier analysis and related frequency selective methods and adaptive filtering methods.

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Detection of extremely weak NQR signals using stochastic resonance and neural network theories

Cited by 26 publications

References 16 publications

Landmine Clearance and Peacebuilding: Evidence from Somaliland

Landmine Clearance and Peacebuilding: Evidence from Somaliland

Detection Algorithm of BPSK Signal of Parameter-Adjusted Bistable Stochastic Resonance Model Based on Scale Change

A novel wavelets method for cancelling time-varying interference in NQR signal detection

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