Iterative Stochastic Resonance Demodulation Algorithm of Frequency-Hopping Signal
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 30, Issue: 1, Page: 341-347
2018
- 1Citations
- 25Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- Usage25
- Downloads22
- Abstract Views3
Article Description
In order to improve the demodulation performance of frequency-hopping signals, this paper proposes a digital receiving algorithm based on the bistable stochastic resonance. With the digital samples sifting, the algorithm processes multiple frequency signals in one stochastic resonance system. The conversion from channel noise to useful signal is improved with multiple iterations of signal system. Finally, the local signal is designed to eliminate the frequency distortion in stochastic resonance system through the relevant calculation. Theoretical analysis and simulation results show that the algorithm can demodulate frequency-hopping signal, and its performance can be improved with the increase of sampling rate. With high sampling rate, the demodulation performance is 2 dB higher than the existing single random resonance detection system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85059252134&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.201801045; https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/45; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=2839&context=journal; https://dx.doi.org/10.16182/j.issn1004731x.joss.201801045; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.201801045; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6151247&internal_id=6151247&from=elsevier
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