The Method for Time Calculation of Information Taking in the Aperture Synthesis Radar Station

Authors

  • O. O. Sliusarchuk Central Research Institute of the Armed Forces of Ukraine, Ukraine

DOI:

https://doi.org/10.20535/RADAP.2018.75.33-39

Keywords:

radar, synthesized aperture, ultrahigh distinction, matching filter, additional algorithm, the time of obtaining a radar image, the artificial creation of a plane wave front, digital processing system

Abstract

Introduction. The main requirements for modern air\-borne radar equipment are obtaining ultra-high resolution radar images at a considerable distance (several tens of kilometers) in a time scale that is close to real as possible. However, there are certain limitations that currently complicate the possibility of obtaining an image of a high resolution at a considerable distance, for example, it is necessary to take into account the sphericality of the wave front of the sounding signal. In the given article the method for time calculation of radiological information taking at use of the determining filter and additional algorithms in the aperture synthesis radar station and calculated the time, which is necessary for reception of the image, using the aperture synthesis radar with the various distinctive abilities. Results of the research. To determine the time to get radar images to a modern computer, it is necessary to calculate: - the number of readings per element of differentiation along the distance in the strip, over the sloping range; - the number of signal counts that are stored in a single channel for coherent filtration at the synthesis interval; - the number of channels in the strip of inspection; - the number of computer cycles needed to get the total number of readings per element of distinction; - the number of cycles for using additional algorithms in processing trajectory signals; - the time required to view the area of the site. Conclusions. An analysis of the calculated time for obtaining ultra-high resolution radar information using a matching filter and additional algorithms suggests that radar monitoring throughout the flight is not appropriate as it takes quite a long time to process radar information. Therefore, it is necessary to initially handle the received radar image with low resolution, and in the case of identifying objects of interest, apply additional algorithms for processing information, to obtain a detailed radar image of a specific area or object with the necessary resolution.

Author Biography

O. O. Sliusarchuk, Central Research Institute of the Armed Forces of Ukraine

Slyusarchuk O. O.

References

Reigber A., Lombardini F., Viviani F., Nannini M. and Martinez del Hoyo A. (2015) Three-dimensional and higher-order imaging with tomographic SAR: Techniques, applications, issues. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/igarss.2015.7326425

Charvat G. L., William J. H.s, Fenn A. J., Kogon S. and Herd J. S. (2011) Build a Small Radar System Capable of Sensing Range, Doppler, and Synthetic Aperture Radar Imaging, 2011 MIT Independent Activities Period (IAP), 24 p.

Fedotov B. M., Stankevych S. A., Ponomarenko S. O. (2010) Sposib syntezuvannia apertury RLS bokovoho ohliadu i prystrii dlia ioho zdiisnennia [Method for the aperture of the radar of the side view and the device for its realization]. Patent UA92116.

Fishler E., Haimovich A., Blum R., Chizhik D., Cimini L. and Valenzuela R. (2004) MIMO radar: an idea whose time has come. Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509). DOI: 10.1109/nrc.2004.1316398

Calderbank R., Howard S. and Moran B. (2009) Waveform Diversity in Radar Signal Processing. IEEE Signal Processing Magazine, Vol. 26, Iss. 1, pp. 32-41. DOI: 10.1109/msp.2008.930414

He H., Li J. and Stoica P. (2012) Preface. Waveform Design for Active Sensing Systems, pp. xi-xii. DOI: 10.1017/cbo9781139095174.001

Zhang Q., Lei W. and Wang Q. (2016) A Fast Time-Delay Calculation Method in Through-Wall-Radar Detection Scenario. MATEC Web of Conferences, Vol. 68, pp. 18008. DOI: 10.1051/matecconf/20166818008

Al Sadoon S.H.M. and Elias B.H. (2013) Radar Theoretical Study: Minimum Detection Range And Maximum Signal To Noise Ratio (SNR) Equation By Using MATLAB Simulation Program. American Journal of Modern Physics, Vol. 2, Iss. 4, pp. 234. DOI: 10.11648/j.ajmp.20130204.20

Doerry A. (2013) Earth curvature and atmospheric refraction effects on radar signal propagation.. DOI: 10.2172/1088060

Chan Y.K. and Koo V.C. (2008) An introduction to synthetic aperture radar (SAR). Progress In Electromagnetics Research B, Vol. 2, pp. 27-60. DOI: 10.2528/pierb07110101

Barshan B. and Eravci B. (2012) Automatic Radar Antenna Scan Type Recognition in Electronic Warfare. IEEE Transactions on Aerospace and Electronic Systems, Vol. 48, Iss. 4, pp. 2908-2931. DOI: 10.1109/taes.2012.6324669

Alter J.J. and Coleman J. O. (1970) {Radar Digital Signal Processing, Radar handbook, Chapter 25.

Bocquet S. (2011) Calculation of Radar Probability of Detection in K-Distributed Sea Clutter and Noise, Defence Science and Technology Organisation.

Wiesbeck W., Sit L., Younis M., Rommel T., Krieger G. and Moreira A. (2015) Radar 2020: The future of radar systems. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/igarss.2015.7325731

Cook B., Arnett T.J., Macmann O. and Kumar M. (2017) Real-Time Radar-Based Tracking and State Estimation of Multiple Non-Conformant Aircraft. AIAA Information Systems-AIAA Infotech @ Aerospace. DOI: 10.2514/6.2017-1133

Komarov A.A., Kondratenkov G.S., Kurilov N.N. (1983) Radiolokatsionnye stantsii vozdushnoi razvedki [Aerial reconnaissance radar stations]. Moskow, Voenizdat, 152 p.

Published

2018-12-30

Issue

Section

Telecommunication, navigation and radar systems, electroacoustics