Measuring information technologies control of environment parameters with inertial sensors

V.A. Gaisky

Institute of Natural and Technical Systems, RF, Sevastopol, Lenin St., 28


DOI: 10.33075/2220-5861-2023-2-50-58

UDC 681.5.08                                                                                          


   To expand the frequency range to the frequency  of the measured parameters, it is proposed to use n sensors of various well-known  inertia parameters, to the outputs of which n accurate analog-to-digital converters with a sampling frequency   and  m discrete Fourier transforms N  time readings into n spectra of amplitudes of the real from  of the members and the imaginary from  of the members of the frequency components are connected. Using the known aliasing mechanism (superposition of n high frequencies on the lower ones) for each frequency component    of each sensor, the sum of  n  the overlapping frequencies with the weights of the real and imaginary components of the transfer characteristics of the sensors is made up, form them systems of linear algebraic equations from n strings are formed for individual frequencies  from n. The solution of these N systems determines n additional spectral components  of the measured signal for  discrete frequencies in the band . In this way, an increase in speed by n times is achieved without creating a less inertial sensor, which is impossible for some sensors, for example, very accurate quartz and stable ones, as well as without upsampling and accurate analog-to-digital conversion, possibilities of which also have quantitative limitations for the achieved level of technology. This is accomplished through structural redundancy: the use n of different measuring channels and special processing of primary measuring information with the beneficial use of the inertia of the sensors and aliasing during upsampling to modulate the high-frequency components and transfer them to the low-frequency part of the spectrum of the measured signal with subsequent restoration.

Keywords: information sensor, aliasing, broadband.

To quote: 

Full text in PDF(RUS)


  1. Gajskij V.A. and Gajskij P.V. Pogreshnosti diskretizacii mnogomernyh sluchajnyh gidrofiziche-skih polej so stepennymi spektrami (Discretization errors of multidimensional random hydrophysical fields with power-law spectra). Morskoj gidrofizicheskij zhurnal, 1994, No. 6, pp. 61–66.
  2. Principy postroeniya tekhnicheskih sredstv issledovaniya okeana (Principles of construction of technical means of ocean research). Moscow: Nauka, 1982, 324 p.
  3. Paramonov A.N., Kushnir V.M., and Zaburdaev V.I. Sovremennye metody i sredstva izmereniya gidrologicheskih parametrov (Modern methods and means of measuring hydrological parameters). Kiev: Nauk. dumka, 1979, 248 p.
  4. Levashov D.E. Tekhnika ekspedicionnyh issledovanij: Instrumental’nye metody i tekhnicheskie sredstva ocenki promyslovo-znachimyh faktorov sredy (Expedition Research Technique: Instrumental Methods and Technical Means for Assessing Commercially Significant Environmental Factors). Moscow: Publishing House of VNIRO, 2003, 400 p.
  5. Pfriem H. Zur messung Veränderlicher Temperaturen von Gasen and Flüssigkeiten. Forsch. Geb. Ingenieurwesens, 1936, Bd. 7, H. 2, pp. 85–82.
  6. Azizov A.M. and Gordov A.N. Tochnost’ izmeritel’nyh preobrazovatelej (Transducer accuracy). Leningrad: Energiya, 1975, 256 p.
  7. Makarov I.M. and Menskij B.M. Linejnye avtomaticheskie sistemy (elementy teorii, metody rasche-ta i spravochnyj material) (Linear automatic systems (elements of theory, calculation methods and reference material). Moscow: Mashinostroenie, 1982, 504 p.
  8. Novickij P.V. Osnovy informacionnoj teorii izmeritel’nyh ustrojstv (Fundamentals of information theory of measuring devices). Leningrad: Energiya, 1968, 248 p.
  9. Sergienko A.B. Cifrovaya obrabotka signalov. Uchebnik dlya vuzov (Digital signal processing. Textbook for universities). Saint-Petersburg: Piter, 2006, 751 p.