Distributed sensing via the ensemble spectra of uncoupled electronic chaotic oscillators

Ludovico Minati, Korkut Kaan Tokgoz and Hiroyuki Ito

Chaos, Solitons & Fractals, 2022, vol. 155, issue C

Abstract: An electronic chaos generator involving cross-coupled inverter rings with lengths equal to the smallest odd prime numbers is considered, and a spatiotemporally-varying control parameter, hypothetically corresponding to a physical variable to be sensed, is introduced akin to a baseband signal. It is shown that, owing to the fine-grained structure of the spectrogram conveniently generated by this circuit, the control parameter setting and its fluctuations can be accurately estimated from the frequency spectrum, or a portion of it, for instance using a small neural network. Mimicking the effect of a passive receiver listening to a set of such nodes, the effect of summing the partially spectrally-overlapping and largely incoherent signals arising from multiple unsynchronized transmitters is then considered. The possibility of estimating some features of the statistical and topographical distribution of the control parameter from the frequency spectrum of the population ensemble signal(s) is indicated. Physical feasibility is corroborated by experiments involving an integrated circuit prototype realized using 65 nm CMOS technology, through which measurement reproducibility is also assessed. The proposed approach may have advantages for realizing distributed sensing applications because synchronization among the sensor nodes is not required, allowing the use of considerably simpler transmitters rather than mutually-coupled oscillators.

Keywords: Chaos modulation; Distributed sensing; Ensemble; Integrated circuit; Neural network; Ring oscillator; Spectrogram (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921011036
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:155:y:2022:i:c:s0960077921011036

DOI: 10.1016/j.chaos.2021.111749

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().