METHOD AND ALGORITHM FOR SIGNAL SIMULATION IN LOCATION AND WIRELESS COMMUNICATIONS SYSTEMS WITH MOVING GEOMETRY

  • А.А. Maryev Southern Federal University
  • Z.А. Ponimash Southern Federal University
Keywords: Location, radar, sonar, wireless communications, motion, Doppler effect, simulation, signal, numerical methods

Abstract

The work is devoted to the issues signals simulation in systems with moving objects. The relevance
of the problem is determined by the growing interest in application of ultra-wideband signals,
progress in the field of creation of hypersonic aircraft and low-orbit spacecraft, as well as
the widespread use of radar and sonar systems with long accumulation of signals.
The geometry of the problem of location for a rather general case (bistatic location with moving
transmitter, reflector and receiver) is considered, as well as the method and algorithm for solving
the problem of modeling echo signal for the simplified case of homogeneous and isotropic medium.
The necessity of numerical methods usage for realization of the proposed simulation method,
suggestions on the choice of numerical methods are given: Runge-Kutta method is suggested for
solving differential equations, for solution of algebraic equations Newton's method is suggested.
Recommendations are given on the choice of parameters of each of the numerical methods. The
applicability of the proposed method and algorithm to the problem of wireless communication with
mobile objects is shown. Several important special cases for each of the problems are considered
with the indication of areas of radio engineering and hydroacoustics, in which each of the special
cases are relevant. It is shown that in a number of simple special cases the proposed method leads
to solutions already obtained by other authors and published in open sources. Recommendations
are given on generalization of the algorithm to more complex variants of the problem formulation

References

1. Kuk Ch., Bernfel'd M. Radiolokatsionnye signaly: Teoriya i primenenie [Radar signals: Theory
and application]: transl. from engl., ed. by V.S. Kel'zona. Moscow: Sov. radio, 1971, 567 p.
2. Goddard R.P. The Sonar Simulation Toolset, Release 4.6: Science, Mathematics, and Algorithms,
Tech. Rep. A352884, University of Washington Applied Physics Lab, 2008.
3. Amin Shoalehvar. Synthetic aperture radar (sar) raw signal simulation: M.Sc. Thesis, California
Polytechnic State University, CA, USA, 2012.
4. Gonorovskiy I.S. Radiotekhnicheskie tsepi i signaly: ucheb. posobie dlya studentov vuzov,
obuchayushchikhsya po napravleniyu podgotovki "Radiotekhnika" [Radio engineering circuits
and signals: a textbook for university students studying in the field of training "Radio engineering"].
5th ed. Moscow: Drofa, 2006, 719 p.
5. Fedosov V.P. Radiotekhnicheskie tsepi i signaly: ucheb. posobie [Radio engineering circuits
and signals: textbook]. Rostov-on-Don; Taganrog: Izd-vo YuFU, 2017, 282 p.
6. Yablonskiy A.A., Nikiforova V.M. Kurs teoreticheskoy mekhaniki. Ch. 1. Statika. Kinematika
[Course of theoretical mechanics. Part 1. Statics. Kinematics]. Moscow: Vysshaya shkola, 1966.
7. Targ S.M. Kratkiy kurs teoreticheskoy mekhaniki: ucheb. dlya vtuzov [A short course in theoretical
mechanics: a textbook for colleges]. 10th ed. Moscow: Vyssh. shk., 1986, 416 p.
8. Nikitin N.N. Kurs teoreticheskoy mekhaniki: ucheb. dlya mashinostroit. i priborostroit. spets.
Vuzov [Course in theoretical mechanics: a textbook for mechanical engineering and instrument-
making specialties at universities]. 5th ed. Moscow: Vyssh. shk., 1990, 607 p.
9. Kalitkin N.N. Chislennye metody [Numerical methods]. Moscow: Nauka, 1978, 512 p.
10. Amosov A.A., Dubinskiy Yu.A., Kopchenova N.V. Vychislitel'nye metody: ucheb. posobie
[Computational methods: textbook]. 4th ed. Saint Petersburg: Izd-vo «Lan », 2014, 672 p.
11. Kondratenkov G.S., Frolov A.Yu. Radiovidenie. Radiolokatsionnye sistemy distantsionnogo
zondirovaniya Zemli: ucheb. posobie dlya vuzov [Radiovision. Radar systems for remote sensing
of the Earth: a textbook for universities], ed. by G.S. Kondratenkova. Moscow:
Radiotekhnika, 2005, 368 p.
12. Hawkins D.W. Synthetic aperture imaging algorithms: with application to wide bandwidth
sonar, Electrical and Electronic Engineering. University of Canterbury, Christchurch, New
Zealand, Oct. 1996.
13. Bakulev P.A. Radiolokatsionnye sistemy: uchebnik dlya vuzov [Radar systems: textbook for
universities]. Moscow: Radiotekhnika, 2004, 320 p.
14. Spravochnik po radiolokatsii [Handbook on radar: in 2 books]: In 2 books, ed. by Merrilla I.
Skolnika: transl. from engl. under general ed. V.S. Verby. Moscow: Tekhnosfera, 2015.
15. Medvedev P.A. Analiz osobennostey rasprostraneniya radiovoln v minisotovykh setyakh [Analysis
of the characteristics of radio wave propagation in minicellular networks]. Available at:
https://cyberleninka.ru/article/n/analiz-osobennostey-rasprostraneniya-radiovoln-v-minisotovyhsetyah.
16. Kireev A.V., Fokin G.A. Izmerenie vremeni prikhoda signala v zadachakh pozitsionirovaniya v
mobil'nykh setyakh pri otsutstvii pryamoy vidimosti [Measuring signal arrival time in positioning
tasks in mobile networks in the absence of line of sight]. Available at:
https://www.sut.ru/doci/nauka/review/20174/36-41.pdf.
17. Preobrazhenskiy N.B., Fayzulkhakov Ya.R. Problema kompensatsii releevskikh zamiraniy v
radiokanalakh podvizhnykh sistem golosovoy svyazi [The problem of compensation for Rayleigh
fading in radio channels of mobile voice communication systems], Informatika i ee
primenenie [Informatics and its application], 2011, Vol. 5, Issue 2, pp. 82-89.
18. Collings I.B., Moore J.B. An HMM approach to adaptive demodulation of QAM signals in fading
channels, 1994. Available at: https://onlinelibrary.wiley.com/doi/10.1002/acs.4480080503.
19. Sun Q., Qi W. Soft-Demodulation Algorithm for 64-QAM And it's application in HSPA+.
School of Electronic and Information Engineering, Beijing Jiao tong University, Beijing, China.
2012.
20. Shilian Zheng, Xiaoyu Zhou, Shichuan Chen, Peihan Qi, and Xiaoniu Yang. DemodNet:
Learning Soft Demodulation from Hard Information Using Convolutional Neural Network,
2020.
21. Athar W., Sadath Hossain A.H.M, Erman M. MIMO Channel Equalization and Symbol Detection
using Multilayer Neural Network. School of Engineering, Dept of Electrical Engineering
Blekinge Institute of Technology. 371 79 Karlskrona. Sweden.
Published
2024-01-05
Section
SECTION II. DATA ANALYSIS AND MODELING