Signal Processing of Airborne Radar Stations Plane Flight Control in Difficult Meteoconditions

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.

Chapter 1. DETECTION AND ASSESSMENT OF PARAMETERS OF METEOROLOGICAL OBJECTS BY AIRBORNE RADAR STATIONS

1.1.      Flight of Air Vehicles in Wind and Atmospheric Turbulence

1.2.        The Detection of Wind Shears, Dangerous for Flights, and Zones of Intensive Turbulence with the Use of Airborne RS

1.3.      The Requirements to Airborne RS at Detection of Zones of Dangerous Wind Shears and Turbulence

1.4.      Condition of Developments of the Domestic and Foreign RS Providing the Assessment of Zones of Dangerous MO

1.5.      Improvement of MO Signals Processing Methods in Airborne RS

1.6.      The main conclusions for Section 1

Chapter 2.  THE MATHEMATICAL MODEL OF METEOROLOGICAL OBJECTS DETECTION BY AIRBORNE RS AND THE ASSESSMENT OF DANGER FOR FLIGHTS OF AIR VEHICLES

2.1. The Structure of the Mathematical Model

2.2. The Model of a Meteorological Object in the Conditions of Wind Shear and Turbulence

2.3. The Mathematical Model of the Carrier Movement of Airborne RS

2.4. The Mathematical Model of a MO Radio Signal

2.5. The mathematical Model of a Signals Processing Path of an Airborne RS

2.6. The main conclusions for Section 2

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

3.1. The Methods and Algorithms of Processing of Signals of Airborne Meteo RS for the Assessment of Frequency and Width of a MO Doppler Spectrum

3.2. The Algorithm of Movement Compensation of the RS Carrier Increasing the Accuracy of Meteo-objects Danger Assessment

3.3. The Algorithms of Assessment of Spatial Win Speed Fields and the Degree of the Found MO Danger according to the Parameters Measurements Results of a Doppler Spectrum of the Reflected Signals 

3.4. The main conclusions for Section 3

CONCLUSION

REFERENCES

Annex 1

Annex 2

Annex 3

Annex 4

Annex 5

Vereshchagin Alexey Vladimirovich has an MS in Engineering and is an Assistant Professor and deputy director of the Scientific and Technological Centre of Perspective Programs and Management of Developments at JSC Radioavionika. He has written more than 30 scientific works, and is devoted to improving the tactical technical characteristics of modern radio-electronic systems and complexes. He participated in the translation of research into mass-produced goods in Russia.

Zatuchny Dmitry Aleksandrovich has an MS in Engineering and is an Associate professor at the Department of Computation Machines, Complexes, Systems and Networks at Moscow State Technical University of Civil Aviation. He is the author of more than 130 scientific works, including 3 monographs, 5 textbooks and 3 state registered computer programs. He was responsible for a number of research projects on ensuring the functioning of modern navigation systems in civil aviation aircraft and air traffic control.

Sinitsyn Vladimir Aleksandrovich has an MS in Engineering and is an Assistant Professor at the Department of Radio-electronic Control Systems of Baltic State Technical University’s Military Mechanical Institute. He is the author of more than 80 scientific works, mostly on issues related to increasing the efficiency of the various  radio-electronic systems used in civil aviation.

Sinitsyn Evgeniy Aleksandrovich holds a Doctorate in Engineering and is Chief of the Research Department of JSC VNIIRA, and a Professor at the Department of Radio-electronic Control Systems of Baltic State Technical University’s Military Mechanical Institute. He is the author of more than 120 publications and 15 patents related to the development of new methods and algorithms for digitally processing signals from vehicular radio-location stations located on civil aircraft.