Abstract. Methods of calculation acceleration in modeling radar systems with synthetic aperture on the GPU parallel architecture are considered. The simulation is based on a point model of the underlying surface. The modeling algorithm assumes preliminary calculation of the reflected signals with the increased sampling rate and subsequent approximation of obtained results to derive a hologram of the district model. It is shown that the time limit for hologram synthesis is defined as the product of number of processes in the block and the number of blocks in the lattice. The combination of these parameters is to be selected based on the architecture of the graphics accelerator. Results of simulations carried out on NVIDIA Tesla K20 GPU using CUDA are presented. Efficiency of the graphic accelerator application for modeling the RLS RSA is confirmed. Thus, in the case of a hologram for a 100x100 points model, the time gain is more than twenty times compared to calculations performed with a general-purpose processor.

Keywords: radar systems, synthesized aperture, modeling, parallel computing, optimization of calculations

References:

1. Verba V.S., Neronskiy L.B., Osipov I.G., Turuk V.E. Radiolokatsionnyye sistemy zemleobzora kosmicheskogo bazirovaniya (Space-Based Radar Earth Observation Systems), Moscow, 2010, 680 р. (in Russ.)
2. Proakis J.G. Digital Communications, NY, McGraw-Hill Book Co., 1983, 608 р.
3. Plyushchev V.A. Journal Science Intensive Technologies, 2004, no. 8–9, рр. 88–100 (in Russ.)
4. Tokareva O.S. Obrabotka i interpretatsiya dannykh distantsionnogo zondirovaniya Zemli (Processing and Interpretation of Earth Remote Sensing Data), Tomsk, 2010, 148 р. (in Russ.)
5. Gonzalez R.C., Woods R.E. Digital Image Processing, Prentice Hall, 2008, 954 р.
6. Zamyatin A.V., Markov N.G. Analiz dinamiki zemnoy poverkhnosti po dannym distantsionnogo zondirovaniya Zemli (The Analysis of Dynamics of the Land Surface According to Remote Sensing of Earth), Moscow, 2007, 176 р. (in Russ.)
7. Joseph J. Fundamental of Remote Sensing, Hyderabad: Universities Press, 2011, 490 р.
8. Lillesand T.M., Kiefer R.W., Chipman J.W. Remote Sensing and Image Interpretation, New Delhi, Wiley India Pvt. Ltd., 2011, 758 р. 
9. Jensen J.R. Remote Sensing of the Environment, Pearson Education, 2007, 592 р.
10. Volosyuk V.K., Kravchenko V.F. Statisticheskaya teoriya radiotekhnicheskikh sistem distantsionnogo zondirovaniya i radiolokatsii (Statistical Theory of Radio Engineering Systems of Remote Sensing and Radar-Location), Moscow, 2008, 703 р. (in Russ.)