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Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure

  • Oleksandr Sotnikov
  • Vladimir G. KartashovEmail author
  • Oleksandr Tymochko
  • Oleg Sergiyenko
  • Vera Tyrsa
  • Paolo Mercorelli
  • Wendy Flores-Fuentes
Chapter

Abstract

The analysis of the known methods and navigation systems of flying robots (FR) was performed. Among them, because of a number of shown below reasons, the most preferable are passive combined correlation-extreme systems which implement the survey-comparative method. A basic model for the radiometric channel operation of the correlation-extreme navigation systems is proposed. The factors that lead to distortions of the decisive function formed by the combined correlation-extreme navigation system of flying robots in a developed infrastructure are allocated. A solution of the problem of autonomous low-flying flying robot navigation in a developed infrastructure using the radiometric channel extreme correlation navigation systems (CENS), when the size of the solid angle of associated object is much larger than the size of the partial antenna directivity diagram (ADD), is proposed. The appearance possibility of spurious objects that are close in parameters (geometric dimensions and brightness) to the anchor object, depending on the current image sight geometry formed by the optoelectronic channel of the combined CENS, is taken into account.

Keywords

Radiometrics Electronic Navigation Flying robots 

Abbreviations

ACS

Automated control systems

ADD

Antenna directivity diagram

CAF

Correlation analysis field

CCC

Coefficient of cross correlation

CENS

Channel extreme correlation navigation systems

CENS-I

CENS in which information is currently removed at a point

CENS-II

CENS in which information is currently removed from a line

CENS-III

CENS in which information is currently removed from an area (frame)

CI

Current image

CS

Control systems

DF

Decision function

EMR

Electromagnetic radiation

FO

False object

FR

Flying robots

FW-UAV

Fixed wings unmanned aerial vehicle

IF

Informational field

INS

Inertial navigation system

LPF

Low-pass filter

NS

Navigation system

OB

Object of binding

PM

Propagation medium

RI

Reference image

RM

Radiometric

RMI

Radiometric imaging

RW-UAV

Rotary wings unmanned aerial vehicle

SD

Standard deviation

SDPN

Sensors of different physical nature

SI

Source image

SS

Sighting surface

TNM

Technical navigation means

UAV

Unmanned aerial vehicle

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Oleksandr Sotnikov
    • 1
  • Vladimir G. Kartashov
    • 2
    Email author
  • Oleksandr Tymochko
    • 3
  • Oleg Sergiyenko
    • 4
  • Vera Tyrsa
    • 4
  • Paolo Mercorelli
    • 5
  • Wendy Flores-Fuentes
    • 6
  1. 1.Scientific Center of Air ForcesKharkiv National Air Force University named after Ivan KozhedubKharkivUkraine
  2. 2.Kharkiv National University of RadioelectronicsKharkivUkraine
  3. 3.Kharkiv National Air Force University named after Ivan KozhedubKharkivUkraine
  4. 4.Universidad Autónoma de Baja CaliforniaMexicaliMexico
  5. 5.Leuphana University of LueneburgLueneburgGermany
  6. 6.Facultad de IngenierÐa MexicaliUniversidad Autónoma de Baja CaliforniaMexicaliMexico

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