Vadym Slyusar

Last updated
Vadym Slyusar
Vadim Slyusar.jpg
Born15 October 1964 (1964-10-15) (age 59)
Ukrainian SSR, Soviet Union
NationalityUkrainian
Citizenship Ukraine
Alma materOrenburg Air Defense high military school
Known for Digital antenna array
AwardsHonored Scientist and Technician of Ukraine (2008)
Scientific career
Fields Antenna theory
Radar signal processing
Institutions Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine
Doctoral advisor 17 Persons

Vadym Slyusar (born 15 October 1964, vil. Kolotii, Reshetylivka Raion, Poltava region, Ukraine) is a Soviet and Ukrainian scientist, Professor, Doctor of Technical Sciences, Honored Scientist and Technician of Ukraine, founder of tensor-matrix theory of digital antenna arrays (DAAs), N-OFDM and other theories in fields of radar systems, smart antennas for wireless communications and digital beamforming.

Contents

Scientific results

Subcarriers system of N-OFDM signals after FFT proposed by V. Slyusar in 1992 N-OFDM.jpg
Subcarriers system of N-OFDM signals after FFT proposed by V. Slyusar in 1992

N-OFDM theory

In 1992 Vadym Slyusar patented the 1st optimal demodulation method for N-OFDM signals after Fast Fourier transform (FFT). [1] From this patent was started the history of N-OFDM signals theory. [1] In this regard, W. Kozek and A. F. Molisch wrote in 1998 about N-OFDM signals with the sub-carrier spacing , that "it is not possible to recover the information from the received signal, even in the case of an ideal channel." [2] But in 2001 Vadym Slyusar proposed such Non-orthogonal frequency digital modulation (N-OFDM) as an alternative of OFDM for communications systems. [3]

The next publication of V. Slysuar about this method has priority in July 2002 [4] before the conference paper of I. Darwazeh and M.R.D. Rodrigues (September, 2003) [5] regarding SEFDM. The description of the method of optimal processing for N-OFDM signals without FFT of ADC samples was transferred to publication by V. Slyusar in October 2003. [6] [7]

The theory N-OFDM of V. Slyusar inspired numerous investigations in this area of other scientists. [7]

Tensor-matrix theory of digital antenna array

Transposed Block Face-splitting product in the context of a Multi-Face radar model Transposed Block Face-Splitting Product.jpg
Transposed Block Face-splitting product in the context of a Multi-Face radar model

In 1996 V. Slyusar proposed the column-wise Khatri–Rao product to estimate four coordinates of signals sources at a digital antenna array. [9] The alternative concept of the matrix product, which uses row-wise splitting of matrices with a given quantity of rows (Face-splitting product), was proposed by V. Slyusar [10] in 1996 as well. [9] [11] [12] After these results the tensor-matrix theory of digital antenna arrays and new matrix operations was evolved (such as the Block Face-splitting product, [13] Generalized Face-splitting product, [14] Matrix Derivative of Face-splitting product etc.), [8] [10] [15] which used also in artificial intelligence and machine learning systems to minimization of convolution and tensor sketch operations, [16] in a popular Natural Language Processing models, and hypergraph models of similarity. [17]

The Face-splitting product and his properties used for multidimensional smoothing with P-splines [18] and Generalized linear array model in the statistic in two- and multidimensional approximations of data as well. [19]

Theory of odd-order I/Q demodulators

The theory of odd-order I/Q demodulators, which was proposed by V. Slyusar in 2014, [20] [21] [22] started from his investigations of the tandem scheme of two-stage signal processing for the design of an I/Q demodulator and multistage I/Q demodulators concept in 2012. [23] As result, Slyusar "presents a new class of I/Q demodulators with odd order derived from the even order I/Q demodulator which is characterized by linear phase-frequency relation for wideband signals". [21] [24]

Results in the other fields of research

V. Slyusar provided numerous theoretical works realized in several experimental radar stations with DAAs which were successfully tested. [25] [26] [27]

He investigated electrical small antennas and new constructions of such antennas, evolved the theory of metamaterials, proposed new ideas to implementation of augmented reality, and artificial intelligence to combat vehicles as well.[ citation needed ]

V. Slyusar has 68 patents, and 850 publications in the areas of digital antenna arrays for radars and wireless communications.

Life data

1981–1985 – listener of Orenburg Air Defense high military school. [28] [29] In this time started the scientific carrier of V. Slyusar, which published a first scientific report in 1985. [30]

June 1992 – defended the dissertation for a candidate degree (Techn. Sci.) at the Council of Military Academy of Air Defense of the Land Forces (Kyiv). The significant stage of the recognition of Vadym Slyusar’s scientific results became the defense of the dissertation for a doctoral degree (Techn. Sci.) in 2000.

Professor – since 2005, Honored Scientist and Technician of Ukraine – 2008.

Since 1996 – work at Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine (Kyiv). Military Rank - Colonel.

Since 2003 – participates in Ukraine-NATO cooperation as head of the national delegations, a person of contact, and national representative within experts groups of NATO Conference of National Armaments Directors [31] [32] and technical members of the Research Task Groups (RTG) of NATO Science and Technology Organisation (STO).

Since 2009 – member of editorial board of Izvestiya Vysshikh Uchebnykh Zavedenii. Radioelektronika.

Selected awards

See also

Related Research Articles

In electronics and telecommunications, modulation is the process of varying one or more properties of a periodic waveform, called the carrier signal, with a separate signal called the modulation signal that typically contains information to be transmitted. For example, the modulation signal might be an audio signal representing sound from a microphone, a video signal representing moving images from a video camera, or a digital signal representing a sequence of binary digits, a bitstream from a computer.

<span class="mw-page-title-main">Orthogonal frequency-division multiplexing</span> Method of encoding digital data on multiple carrier frequencies

In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital (binary) data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL internet access, wireless networks, power line networks, and 4G/5G mobile communications.

In electronics and telecommunications, jitter is the deviation from true periodicity of a presumably periodic signal, often in relation to a reference clock signal. In clock recovery applications it is called timing jitter. Jitter is a significant, and usually undesired, factor in the design of almost all communications links.

In mathematics, the Kronecker product, sometimes denoted by ⊗, is an operation on two matrices of arbitrary size resulting in a block matrix. It is a specialization of the tensor product from vectors to matrices and gives the matrix of the tensor product linear map with respect to a standard choice of basis. The Kronecker product is to be distinguished from the usual matrix multiplication, which is an entirely different operation. The Kronecker product is also sometimes called matrix direct product.

In signal processing, direction of arrival (DOA) denotes the direction from which usually a propagating wave arrives at a point, where usually a set of sensors are located. These set of sensors forms what is called a sensor array. Often there is the associated technique of beamforming which is estimating the signal from a given direction. Various engineering problems addressed in the associated literature are:

The angle of arrival (AoA) of a signal is the direction from which the signal is received.

<span class="mw-page-title-main">Space-time adaptive processing</span> Signal processing technique used in radar

Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems. It involves adaptive array processing algorithms to aid in target detection. Radar signal processing benefits from STAP in areas where interference is a problem. Through careful application of STAP, it is possible to achieve order-of-magnitude sensitivity improvements in target detection.

In statistics, the generalized linear array model (GLAM) is used for analyzing data sets with array structures. It based on the generalized linear model with the design matrix written as a Kronecker product.

<span class="mw-page-title-main">Carrier interferometry</span>

Carrier Interferometry(CI) is a spread spectrum scheme designed to be used in an Orthogonal Frequency-Division Multiplexing (OFDM) communication system for multiplexing and multiple access, enabling the system to support multiple users at the same time over the same frequency band.

<span class="mw-page-title-main">MIMO</span> Use of multiple antennas in radio

In radio, multiple-input and multiple-output (MIMO) is a method for multiplying the capacity of a radio link using multiple transmission and receiving antennas to exploit multipath propagation. MIMO has become an essential element of wireless communication standards including IEEE 802.11n, IEEE 802.11ac, HSPA+ (3G), WiMAX, and Long Term Evolution (LTE). More recently, MIMO has been applied to power-line communication for three-wire installations as part of the ITU G.hn standard and of the HomePlug AV2 specification.

In mathematics, the Johnson–Lindenstrauss lemma is a result named after William B. Johnson and Joram Lindenstrauss concerning low-distortion embeddings of points from high-dimensional into low-dimensional Euclidean space. The lemma states that a set of points in a high-dimensional space can be embedded into a space of much lower dimension in such a way that distances between the points are nearly preserved. In the classical proof of the lemma, the embedding is a random orthogonal projection.

<span class="mw-page-title-main">Hadamard product (matrices)</span> Matrix operation

In mathematics, the Hadamard product is a binary operation that takes in two matrices of the same dimensions and returns a matrix of the multiplied corresponding elements. This operation can be thought as a "naive matrix multiplication" and is different from the matrix product. It is attributed to, and named after, either French mathematician Jacques Hadamard or German mathematician Issai Schur.

The first smart antennas were developed for military communications and intelligence gathering. The growth of cellular telephone in the 1980s attracted interest in commercial applications. The upgrade to digital radio technology in the mobile phone, indoor wireless network, and satellite broadcasting industries created new opportunities for smart antennas in the 1990s, culminating in the development of the MIMO technology used in 4G wireless networks.

IQ imbalance is a performance-limiting issue in the design of a class of radio receivers known as direct conversion receivers. These translate the received radio frequency signal directly from the carrier frequency to baseband using a single mixing stage.

Non-orthogonal frequency-division multiplexing (N-OFDM) is a method of encoding digital data on multiple carrier frequencies with non-orthogonal intervals between frequency of sub-carriers. N-OFDM signals can be used in communication and radar systems.

In statistics, machine learning and algorithms, a tensor sketch is a type of dimensionality reduction that is particularly efficient when applied to vectors that have tensor structure. Such a sketch can be used to speed up explicit kernel methods, bilinear pooling in neural networks and is a cornerstone in many numerical linear algebra algorithms.

<span class="mw-page-title-main">Digital antenna array</span> Smart antenna with multi channels digital beamforming

Digital antenna array(DAA) is a smart antenna with multi channels digital beamforming, usually by using fast Fourier transform (FFT). The development and practical realization of digital antenna arrays theory started in 1962 under the guidance of Vladimir Varyukhin (USSR).

<span class="mw-page-title-main">Vladimir Varyukhin</span>

Vladimir Alekseevich Varyukhin was a Soviet and Ukrainian scientist, Professor, Doctor of Technical Sciences, Honored Scientist of the Ukrainian SSR, Major-General, founder of the theory of multichannel analysis, and creator of the scientific school on digital antenna arrays (DAAs).

In mathematics, the Khatri–Rao product or block Kronecker product of two partitioned matrices and is defined as

Count sketch is a type of dimensionality reduction that is particularly efficient in statistics, machine learning and algorithms. It was invented by Moses Charikar, Kevin Chen and Martin Farach-Colton in an effort to speed up the AMS Sketch by Alon, Matias and Szegedy for approximating the frequency moments of streams.

References

  1. 1 2 RU2054684 (C1) G01R 23/16. Amplitude-frequency response measurement technique// Slyusar V. – Appl. Number SU 19925055759, Priority Data: 19920722. – Official Publication Data: 1996-02-20
  2. ↑ W. Kozek and A. F. Molisch.“Nonorthogonal pulse shapes for multicarrier communications in doubly dispersive channels,” IEEE J. Sel. Areas Commun., vol. 16, no. 8, pp. 1579–1589, Oct. 1998.
  3. ↑ Pat. of Ukraine No. 47835 A. IPС8 H04J1/00, H04L5/00. Method of frequency-division multiplexing of narrow-band information channels// Sliusar Vadym Іvanovych, Smoliar Viktor Hryhorovych. – Appl. No. 2001106761, Priority Data 03.10.2001. – Official Publication Data 15.07.2002, Official Bulletin No. 7/2002
  4. ↑ Slyusar, V. I. Smolyar, V. G. Multifrequency operation of communication channels based on super-Rayleigh resolution of signals// Radio electronics and communications systems c/c of Izvestiia- Vysshie Uchebnye Zavedeniia. Radioelektronika. – 2003, volume 46; part 7, pages 22–27. – Allerton Press Inc. (USA)
  5. ↑ M. R. D. Rodrigues and I. Darwazeh. A Spectrally Efficient Frequency Division Multiplexing Based Communications System.// InOWo'03, 8th International OFDM-Workshop, Proceedings, Hamburg, DE, September 24–25, 2003. - https://www.researchgate.net/publication/309373002
  6. ↑ Slyusar, V. I. Smolyar, V. G. The description of nonorthogonal frequency-discrete modulation of signals for narrow-band communication channels// Radioelectronics and communications systems c/c of Izvestiia Vysshie Uchebnye Zavedeniia. Radioelektronika. – 2004, volume 47; part 4, pages 40–44. – Allerton Press Inc. (USA)
  7. 1 2 Maystrenko, V.A.; Maystrenko, V.V. (2014). "The modified method of demodulation N-OFDM signals". 2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). pp. 372–376. doi:10.1109/apeie.2014.7040919. ISBN   978-1-4799-6020-0. S2CID   44028633.
  8. 1 2 Vadym Slyusar. New Matrix Operations for DSP (Lecture). April 1999. - DOI: 10.13140/RG.2.2.31620.76164/1
  9. 1 2 Slyusar, V. I. (1998). "End products in matrices in radar applications" (PDF). Radioelectronics and Communications Systems. 41 (3): 50–53.
  10. 1 2 Esteve, Anna; Boj, Eva; Fortiana, Josep (2009). "Interaction Terms in Distance-Based Regression". Communications in Statistics - Theory and Methods. 38 (19): 3498–3509. doi:10.1080/03610920802592860. S2CID   122303508.
  11. ↑ Slyusar, V. I. (1997-05-20). "Analytical model of the digital antenna array on a basis of face-splitting matrix products" (PDF). Proc. ICATT-97, Kyiv: 108–109.
  12. ↑ Slyusar, V. I. (1997-09-15). "New operations of matrices product for applications of radars" (PDF). Proc. Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED-97), Lviv.: 73–74.
  13. ↑ Slyusar, V. I. (March 13, 1998). "A family of face products of matrices and its properties" (PDF). Cybernetics and Systems Analysis. 35 (3): 379–384. doi:10.1007/BF02733426. S2CID   119661450.
  14. ↑ Slyusar, V. I. (2003). "Generalized face-products of matrices in models of digital antenna arrays with nonidentical channels" (PDF). Radioelectronics and Communications Systems. 46 (10): 9–17.
  15. ↑ Slyusar, V. I. (1998). "Fisher information matrix for models of systems based on face-splitting matrix products" (PDF). Cybernetics and Systems Analysis. 35 (4): 636–643. doi:10.1007/BF02835859. S2CID   121133586.
  16. ↑ Thomas D. Ahle, Jakob Bæk Tejs Knudsen. Almost Optimal Tensor Sketch. //Mathematics, Computer Science, Published 3 September 2019. Page 9. - ArXiv
  17. ↑ Bryan Bischof. Higher order co-occurrence tensors for hypergraphs via face-splitting. Published 15 February 2020, Mathematics, Computer Science, ArXiv
  18. ↑ Eilers, Paul H.C.; Marx, Brian D. (2003). "Multivariate calibration with temperature interaction using two-dimensional penalized signal regression". Chemometrics and Intelligent Laboratory Systems. 66 (2): 159–174. doi:10.1016/S0169-7439(03)00029-7.
  19. ↑ Currie, I. D.; Durban, M.; Eilers, P. H. C. (2006). "Generalized linear array models with applications to multidimensional smoothing". Journal of the Royal Statistical Society . 68 (2): 259–280. doi:10.1111/j.1467-9868.2006.00543.x. S2CID   10261944.
  20. ↑ Slyusar V.I. I/Q-Demodulation of the Odd Order.// 20th International Conference on Microwaves, Radar, and Wireless Communications (MIKON-2014) and 13th International Radar Symposium (IRS 2014). Conference Proceedings.– Gdansk, Poland, June 16–18, 2014.
  21. 1 2 Madodana Mfana. Optimized Soft-Core Processor Architecture for Noise Jamming: Masters of Electrical & Electronic Engineering Dissertation. - The University of Johannesburg. - December 2019. - Pages 8 - 12, 22 - 23.
  22. ↑ Slyusar, V.; Serdiuk, P. (2020). "Synthesis Method of Procedure for Odd-Order I/Q Demodulation Based on Replacing Multistage with Equivalent Single-Stage Demodulation Schemes". Radioelectronics and Communications Systems. 63 (5): 273–280. doi:10.3103/S0735272720050064. S2CID   220505355.
  23. ↑ Slyusar V.І., Serduk P.E.A Two Channels I/Q-Demodulator.// 11th International Conference Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2012). - 21–24 February 2012. - Lviv-Slavske, Ukraine. - P. 411.
  24. ↑ Mfana; Hasan; Ali (2019). "Odd/Even Order Sampling Soft-Core Architecture towards Mixed Signals Fourth Industrial Revolution (4IR) Applications". Energies. 12 (23): 4567. doi: 10.3390/en12234567 .
  25. 1 2 Slyusar, V.I. The way of correction of DAA receiving channels characteristics using the heterodyne signal// Proceedings of the III International Conference on Antenna Theory and Techniques, 8–11 September 1999, Sevastopol, page 244.
  26. ↑ Slyusar V.І., Nikitin N.N., Shatzman L.G., Korolev N.A., Solostchev О.N., Shraev D.V., Volostchuk І.V., Аlesyn А.М., Bondarenko М.V., Grytzenko V.N., Malastchuк V.P. Experimental Radar with 64-Channel Digital Antenna Array.// TCSET'2010. - Lviv - Slavske, Ukraine. - 23–27 February 2010. - P. 95.
  27. ↑ Slyusar V.І., Nikitin N.N., Shatzman L.G., Korolev N.A., Solostchev О.N., Shraev D.V., Volostchuk І.V., Аlesyn А.М., Bondarenko М.V., Grytzenko V.N., Malastchuк V.P.A Marine Testing’s Result of Experimental Radar with 64–Channels Digital Antenna Array. //18th International Conference on Microwaves, Radar, and Wireless Communications (MIKON-2010) and 11th International Radar Symposium (IRS 2010). Conference Proceedings.– Vilnius, Lithuania, June 14–18, 2010. - Pp. 562 - 564.
  28. ↑ Оренбургское Краснознамённое, под редакцией Б. В. Шляпкина. – М.: Воениздат, 1988, 230 с.
  29. ↑ Голубенький С. Профессия - защищать Родину. [ permanent dead link ] Газета "Южный Урал", 19 июля 1985. - 4 с.
  30. ↑ Шепель, В. (1985). "О военно-научной работе курсантов" (PDF). Вестник противовоздушной обороны. – 1985. – № 3. pp. С. 49–50.
  31. ↑ Slyusar V.I. Regarding the building of the system of systems of standards./Coordination problems of military-technical and defensive industrial policy in Ukraine. Weapons and military equipment development perspectives/ V International Scientific and Practical Conference. Abstracts of reports. - October 11–12, 2017. - Kyiv. - P. 38.
  32. ↑ «Науковці України – еліта держави». Том VI, 2020. – С. 216
  33. ↑ Слюсар, В.И. (2002). "Схемотехника цифрового диаграммообразования. Модульные решения" (PDF). Электроника: наука, технология, бизнес. – 2002. - № 1. pp. C. 46–52.
  34. ↑ Слюсар, В.И. (2004). "Схемотехника цифровых антенных решёток. Грани возможного" (PDF). Электроника: наука, технология, бизнес. – 2004. - № 8. pp. C. 34–40.
  35. ↑ Патент України на корисну модель № 39243. МПК (2006) G01S 13/00, G01S 7/00, H02K 15/00. Багатоканальний приймальний пристрій.// Слюсар В.І., Волощук І.В., Алесін А. М., Гриценко В. М., Бондаренко М. В., Малащук В. П., Шацман Л. Г., Нікітін М. М. – Заявка на видачу патенту України на корисну модель № u200813442 від 21.11.2008. – Патент опубліковано 10.02.2009, бюл. № 3
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.