Персона: Лагунов, Сергей Сергеевич
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Институт физико-техничеcких интеллектуальных систем
Институт физико-технических интеллектуальных систем впервые в стране обеспечивает комплексную подготовку специалистов по созданию киберфизических устройств и систем самого различного назначения – основного вида технических устройств середины 21 века. ИФТИС реализует «дуальную» модель образования, в рамках которой направляет студентов на стажировку и выпускников для трудоустройства на передовые предприятия, занятые созданием инновационных киберфизических продуктов, в первую очередь, на предприятия ГК «Росатом». Основным индустриальным партнером ИФТИС является ведущее предприятие ГК «Росатом» — ФГУП «ВНИИА им. Н.Л. Духова».
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Лагунов
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Сергей Сергеевич
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- ПубликацияТолько метаданныеThe Effect of Pseudorandom Sequence Systematicity on Signal-to-Noise Ratio in Hadamard Transform Ion Mobility Spectrometry(2021) Sarycheva, A. P.; Adamov, A. Y.; Lagunov, S. S.; Lapshov, G. V.; Poteshin, S. S.; Sysoev, A. A.; Адамов, Алексей Юрьевич; Лагунов, Сергей Сергеевич; Лапшов, Глеб Валерьевич; Потешин, Сергей Станиславович; Сысоев, Алексей Александрович© 2021, Pleiades Publishing, Ltd.Abstract: The formation of an artefact signal can greatly influence the sensitivity of the drift tube ion mobility spectrometer (IMS) in multiplex mode (Hadamard transform mode). This signal is a systematic error of multiplexed signal modulation via pseudorandom sequence (PRS), and it can appear as false peaks, or it can be similar to interference or noise. The artefact signal usually cannot be differentiated from the latter by standard mathematical processing algorithms. In Hadamard transform ion mobility spectrometry, the presence of an artefact signal when utilizing standard data processing algorithms results in the following situation. Even though each individual recovered spectrum demonstrates a noticeable improvement in signal-to-noise ratio due to forward Hadamard transform, this improvement is reduced or even disappears completely for averaged recovered multiplexed spectra when compared to the conventional IMS averaging mode. A noticeable improvement in signal-to-noise ratio can be achieved by modifying PRSs by incorporating fixed numbers of additional zeros after every element (modulation bin) of the conventional PRSs. The improvement can be explained because the addition suppresses systematic noise-like artefact signals. In this paper, we analyze the observed signal-to-noise ratio in averaged spectra for simulated via theoretical model and experimental data for various multiplexing modes of Hadamard transform. We also analyzed the influence of modulating PRSs’ “randomness” on signal-to-noise ratio in the resulting spectra in the case of non-modified sequences. We chose the standard deviation of PRS’s autocorrelation function, or the autocorrelation coefficient, to serve as the “randomness” criterion. For modulation with PRSs modified with additional zeros, we observed a considerable correlation between theoretical and experimental values of relative improvement of the signal-to-noise ratio. This indirectly proves the existence of constraints in Hadamard multiplexing mode when a statistically significant amount of individual spectra is averaged. This also leads to the necessity of improved strategies of data multiplexing and decoding for further sensitivity improvement. The choice of optimal PRS is part of the strategy’s search. One of the choice’s criterion is the minimization of the artefact signal. The data presented in this paper suggests that the autocorrelation coefficient as the criterion of choice for PRS is justified but not sufficient: it leaves the problem of PRS selection when searching for a strategy for sensitivity improvement in Hadamard transform ion mobility spectrometry.
- ПубликацияТолько метаданныеПрограммно-аппаратный метод повышения чувствительности полезного сигнала спектрометра ионной подвижности(2021) Лагунов, С. С.; Лагунов, Сергей Сергеевич; Кудрявцев Евгений МихайловичЦель работы – исследование влияния стробирования ионного затвора спектрометра ионной подвижности псевдослучайной последовательностью с последующим преобразованием Адамара на отношение сигнал / шум спектра, а также исследование методов уменьшения артефактного сигнала, возникающего при обратном преобразовании Адамара.
- ПубликацияТолько метаданныеInfluence of multiplexing conditions on artefact signal and the signal-to-noise ratio in the decoded data in Hadamard transform ion mobility spectrometry(2020) Sarycheva, A.; Adamov, A.; Poteshin, S. S.; Lagunov, S. S.; Sysoev, A. A.; Адамов, Алексей Юрьевич; Потешин, Сергей Станиславович; Лагунов, Сергей Сергеевич; Сысоев, Алексей АлександровичIn Hadamard transform ion mobility spectrometry (HT IMS), the signal-to-noise ratio is always lower for non-modified pseudorandom sequences than for modified sequences. Since the use of non-modified modulating pseudorandom sequences is strategically preferable from a duty cycle standpoint, we investigated the change in the interference signal when transitioning from non-modified modulating sequences to sequences modified by the addition of 1,3,5 and 7 zeros. The interfering signal in HT IMS with modified pseudorandom sequences was shown to be mainly random noise for all the cases except for modifying by incorporation of 1 zero. For standard samples of tetraalkylammonium halides, modulation by non-modified pseudorandom sequences is beneficial in the case of small numbers of averaged spectra (below similar to 40 averaged spectra compared to any modified pseudorandom sequences except for 1 zero modified and below similar to 200 averaged spectra compared to signal averaging ion mobility spectrometry) and worsens the signal-to-noise ratio in the case of large numbers of averaged spectra. Contrarily, modulation by modified pseudorandom sequences is beneficial for any number of averaged spectra, except for very small ones (below 15 averaged spectra compared to modulation by non-modified sequences). Pseudorandom sequence modified with 1 zero incorporation is beneficial in the case of below similar to 400 averaged spectra compared to any modified and non-modified pseudorandom sequences. The signal-to-noise ratio in conventional signal averaging mode ion mobility spectrometry is affected by random noise, whereas the HT IMS with non-modified pseudorandom sequences was demonstrated to be primarily affected by a systematic noise-like artefact signal. Because noise-like artefact signals were found to be reproducible, predicting models for interference signals could be generated to improve signal-to-noise ratio. This is significant because non-modified modulating sequences are limited by their poor signal-to-noise ratio. This improvement would increase the viability of non-modified modulating sequences which are preferred because of their higher sample utilization efficiency.