Enhancing Stochastic Resonance by Adaptive Colored Noise and Particle Swarm Optimization: An Application to Steering Control

Miguel Martinez-Garcia, Yu Zhang, Shuihua Wang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

In this paper, an intelligent signal processing approach is applied to enhance the detectability of weak signals - i.e., signals which are partially below a theoretical threshold of detection. Mechanical and physiological thresholds limit the capability of humans when manipulating machines via control devices, such as steering wheels. One approach to tackle the shortcomings of lost subthreshold information is stochastic resonance, which consists in adding noise to a signal, to raise its energy content over the threshold of detection. In particular, this paper shows that using adaptive colored can noise improve the detectability of steering control signals recorded from human participants. The approach converts a signal processing task to a machine learning problem; particle swarm optimization is employed to obtain the optimal color (or spectral exponent) of the injected noise, generated through fractional order filters. The results have shown that the proposed method improves the detectability of subthreshold steering control signals, which can be further applicable to many other domains, such as improving tactile sensation or acoustic perception through noise and energy harvesting from vehicle tires.

Original languageEnglish
Title of host publication2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1700-1705
Number of pages6
ISBN (Electronic)9781665413084
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022 - Sapporo, Japan
Duration: 11 Jul 202215 Jul 2022

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2022-July

Conference

Conference2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2022
Country/TerritoryJapan
CitySapporo
Period11/07/2215/07/22

Keywords

  • Fractional Calculus
  • Human-machine systems
  • Intelligent Signal Processing
  • Steering Control
  • Stochastic Resonance

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