Vol. 11, no.3, 2019
РусскийEnglish

RADIOELECTRONICS



IMPROVING THE ACCURACY OF MEASUREMENT TIME INTERVALS OF RADIO RECEPTION IN THE FRAMEWORK OF RECURSIVE MULTI-STAGE BAYESIAN ESTIMATES
1,2Yuri N. Gorbunov
1A.I. Berg Central Research Institute of Radioengineering, http://www.cnirti.ru/
Moscow 107078, Russian Federation
2Kotelnikov Institure of Radioengineering and Electronics of RAS, Fryazino branch, http://fire.relarn.ru
Fryazino 141190, Moscow region, Russian Federation
E-mail: gorbunov@ms.ire.rssi.ru

Received 03.12.2019, peer reviewed 18.12.2019, accepted 20.12.2019
Abstract. The conditions of increasing the accuracy of digital measurement of repeating signal parameters (increasing the resolution) in measuring radio reception systems by reducing sampling and quantization errors, with a random nature of the change in the measurement conditions (experiment conditions) are analyzed. The method of reducing the errors of digital measurement during random modulation of the phase of the quantizing sequence and conducting multi-stage measurements using recursive optimal estimates from the theory of statistical estimation is analyzed in detail. By analogy with adaptive digital filters, a hypothesis is put forward about the possibility of increasing instrumental accuracy (reducing instrumental errors) in measuring repeated time intervals with random modulation of the initial phase of quantizing pulses and using feedback in the experiment. Thus, the fundamental possibility of creating the fundamental basis of ultra-precise measurements is proved. Similarly, an increase in image sharpness along the X, Y axes is realized, for example, the aperture of the line of receiving sensors and the use of rough ("Boolean") statistics of the input signal. The approach based on the recursion of measurements due to changes in the conditions of the experiment using the statistical test method (Monte Carlo method) is considered. To clarify (interpolate) the position of the end of the measured segment inside the resolution element and thus achieve the effect of “instrumental overresolution” of multiple measurements.

Keywords: : chaotization of measurements (randomization), chaotic modulation of the phase, rough counting, measurement recursion, instrumental accuracy, discretization and quantization effects, feedback, stochastic linearization

UDC 621.396.96

RENSIT, 2019, 11(2):291-298 DOI: 10.17725/rensit.2019.11.291

Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/297/11(3)291-298e.pdf