Keynote speakers
Ivan Malay
Doctor of Technical Sciences, Associate Professor and Deputy General Director of VNIIFTRI, Moscow, Russia
Digital Signal Processing Applications in Modern Measurement Systems
Abstract: The results of the analysis of measurement problems solved using digital signal processing (DSP) are presented. The current state of the domestic standard base and the fleet of measuring instruments in the field of radio engineering measurements is reflected. The key directions in the development of DSP methods for providing measurements of waveform parameters and the spectrum of electrical and radio signals, navigation signals and digital information signals transmitted via Internet and telephony channels are considered. Proposals are formulated on the main directions of the use of DSP in the processing of measurement results for the improvement of measuring devices and systems.
Ivan Mikhailovich Malay, born in 1963. Engineer specializing in radio electronic systems (1988), expert in the field of metrology of radio engineering and electromagnetic measurements; Associate Professor, Doctor of Technical Sciences (2013). Author of more than 50 publications, including 3 patents, in the field of radio engineering and electronic measurements, measurements of electromagnetic field parameters, radar scattering characteristics, antenna measurements, ultra-wideband pulse measurements. Chief designer of a number of R&D projects for the creation of high-precision radio measuring systems. Head of the Information and Analytical Center for Standards and Measuring Instruments for Radio Engineering and Radio Electronic Quantities, created on the basis of VNIIFTRI. Chairman of the commission "Measurements of radio engineering quantities" at the Federal Agency for Technical Regulation and Metrology. From 1988 to 2013 - Junior Researcher, Head of Laboratory, Head of Department, Deputy Head of the Main Scientific Metrological Center of the Russian Ministry of Defense. From 2013 to the present - Deputy General Director of VNIIFTRI for radio engineering and electromagnetic measurements
Vladimir Rodionov
Doctor of Technical Sciences, Professor, Chief Specialist of JSC "CRZ Flight", Chelyabinsk, Russia
Signal processing algorithms in ATC radar based on modern digital signal processing modules
Abstract: Methods of forming probing signals with a low level of side lobes of the range uncertainty function, algorithms for detecting moving targets against the background of the most unfavorable passive interference and issues of their implementation on digital signal processing modules are considered.
Vladimir V. Rodionov, born in 1947, Radio engineer (1970), specialist in the field of radar and electronic suppression. Professor, Doctor of Technical Sciences (2000). Author of more than 100 publications, including 2 patents, one on the formation of signals with a low level of side lobes (-98 dB), the second on the method of adaptive detection of moving targets against the background of passive interference. Both patents are embedded in the products manufactured by HRZ "Flight". From 1970 to 1976 he was a junior researcher, then a graduate student. From 1976 to 1986, associate Professor at Chelyabinsk State University, from 1986 to 1993, head of the laboratory of the Research Institute of Digital Systems at the Chelyabinsk Polytechnic Institute (CHPI) (now South Ural State University (SUSU)). From 1994 to 2000, associate professor, then professor of SUSU, from 2000 to 2020, head of the scientific and Technical Center of the Chelyabinsk Radio Plant (CRZ) "Flight", from 2020 to the present, chief specialist of the CRZ "Flight".
Alexander D. Khzmalyan
Doctor of Phys.-Math. Sci.,, PJSC "ALMAZ R&P Corp."Moscow, Russia
Minimax Weighting Functions for Real-Time Harmonic Analysis of Signals
Abstract: Digital harmonic analysis of signals is one of the main tools in various fields of science and technology. As a rule, in order to reduce the spectrum leakage effect, before calculating the spectrum, the signal is multiplied by a function called weighting function, or, equivalently, window. Requirements imposed on the weighting function depend on the application problem. Therefore, a significant number of weighting functions have been developed for various applications. The report presents several new families of weighting functions that meet two conditions: 1) the minimal level of the maximum sidelobe of their spectra; 2) a low computational complexity of the weighting function, which is necessary for real-time implementation. The first condition is classic and is necessary in various problems of science and technology, an example of which is given in the report, the second condition simplifies implementation of the weighting functions, especially in real-time systems. The low computational complexity is achieved due to original representation of the proposed weighting functions in the form of a generalized low-order polynomial in cosine or quadratic basis functions. This representation reduces the computational effort by a factor of, on the average, from 3 to 4 with respect to the known windows with low computational complexity.
Minimization of the spectrum sidelobe level is achieved in terms of solution of a synthesis problem formulated as a Chebyshev minimization problem for the maximum absolute value of the weighting function over a specified frequency range. The report provides formulation of the minimax problem, the method of solution, including developed numerical algorithms, and analyzes of properties of the optimal solution. References are provided to catalogs of synthesized optimal weighting functions, which can be used to employ the windows without going into mathematical details of the synthesis procedure. The catalogs are developed for polynomial and cosine-polynomial weighting functions for two cases: 1) minimization of all spectrum sidelobes and 2) minimization of sidelobes on a specified segment of the frequency axis. Comparison of the designed weighting functions with known ones shows the advantage of the new windows. The developed synthesis algorithm synthesizes the optimal weighting function specified by the following design parameters: a low integer order of the function which provides a low amount of calculations in implementation, an arbitrary sidelobe falloff rate of V ≥ 6 dB per octave, and two boundaries of the optimization frequency range. The three last parameters are arbitrary real numbers which provides plenitude of the proposed window families.
Alexamder D. Khzmalyan, Born in 1952. Graduated from Moscow Power-Engineering Institute (1975), Candidate of technical Sciences (1980, in antennas and microwave techniques), Doctor of Phys.-Math Sciences (1992, in radiophysics). Author and co-author of papers in array antenna analysis and synthesis, antenna measurements, and digital signal processing.