Signal Processing of Airborne Radar Stations

Plane Flight Control in Difficult Meteoconditions

verfasst von: Vereshchagin A.V., Zatuchny D.A., Sinitsyn V.A., Dr. Sinitsyn E.A., Prof. Dr. Shatrakov Y.G.

Verlag: Springer Singapore

Buchreihe : Springer Aerospace Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik"

Einloggen, um Zugang zu erhalten

Über dieses Buch

This book highlights new methods and parametric algorithms for the digital coherent processing of signals in airborne radar systems located on air vehicles. Using the autoregressive (AR) model, it delivers more accurate danger assessments for flight in wind shear and atmospheric turbulence, while also suggesting how they could be implemented. Given its scope, the book is intended for technical experts whose work involves the development, production and operation of airborne radio-electronic systems.

Inhaltsverzeichnis

Frontmatter

Chapter 1. The Detection and Assessment of Meteorological Object Parameters by Airborne RS

Abstract

One of the most commonly occurring adverse environmental conditions in the practice of AV flights leading to consequences, dangerous on the influences on AV are various perturbations of the atmosphere (Table 1.1) [15].

Table 1.1

The list of the atmospheric perturbations potentially dangerous for AV flights

Item no.	Parameter	Parameter value
Item no.	Parameter	Weak	Moderate	Heavy	Very heavy
1	Vertical wind shear at the height of 30 m, m/s	0–2.0	2.1–4.0	4.1–6.0	>6
2	Horizontal wind shear at the distance of 600 m, m/s	0–2.0	2.1–4.0	4.1–6.0	>6
3	RMSD of velocity fluctuations, m/s	0–1.5	1.5–3.0	3.0–4.5	>4.5
4	Overload, g	0–0.2	0.2–0.4	0.4–0.6	>0.6
5	Speed of dissipation of turbulent kinetic energy, m²/s³	0–0.001	0.001–0.01	0.01–0.04	>0.04
6	Influence on AV control	Insignificant	Significant	Considerable	Dangerous

Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., Shatrakov Y. G.

Chapter 2. The Mathematical Model of Detection of Meteorological Objects by Airborne RS and the Assessment of Danger for Air Vehicles Flights

Abstract

The object of researches is an airborne RS working in the mode of detection and assessment of MO danger.

Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., Shatrakov Y. G.

Chapter 3. The Methods and Algorithms of Processing of Signals Improving Observability and Accuracy of the Assessment of Parameters of Meteorological Objects of Airborne Radar Stations

Abstract

A big variety of conditions of formation of the signals reflected by MO causes essential aprioristic uncertainty of their parameters that does not give the opportunity of use of any known in advance characteristics for the organization of optimum processing of these signals, for example, by Bayesian methods or by the methods of maximum of posteriori density of probability.

Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., Shatrakov Y. G.

Chapter 4. Conclusion

Abstract

The monograph is devoted to improvement of methods and algorithms of processing of signals in airborne aviation radar systems (RS) for increase in the flight operation safety (FOS) in difficult meteoconditions.

Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., Shatrakov Y. G.

Backmatter

Titel: Signal Processing of Airborne Radar Stations
verfasst von: Vereshchagin A.V.
Zatuchny D.A.
Sinitsyn V.A.
Dr. Sinitsyn E.A.
Prof. Dr. Shatrakov Y.G.
Verlag: Springer Singapore
Electronic ISBN: 978-981-13-9988-6
Print ISBN: 978-981-13-9987-9
DOI: https://doi.org/10.1007/978-981-13-9988-6

Springer Professional

Über dieses Buch

Inhaltsverzeichnis

Frontmatter

Chapter 1. The Detection and Assessment of Meteorological Object Parameters by Airborne RS

Chapter 2. The Mathematical Model of Detection of Meteorological Objects by Airborne RS and the Assessment of Danger for Air Vehicles Flights

Chapter 3. The Methods and Algorithms of Processing of Signals Improving Observability and Accuracy of the Assessment of Parameters of Meteorological Objects of Airborne Radar Stations

Chapter 4. Conclusion

Backmatter

Premium Partner