Passive Radar Parallel Processing Using General-Purpose Computing on Graphics Processing Units

• Autorzy: Szczepankiewicz K. , Malanowski M. , Szczepankiewicz M.

Identyfikatory

DOI

10.1515/eletel-2015-0047

• Konferencja: Signal Processing Symposium (10-12.06. 2015 ; Debe, Poland)
• Języki publikacji: EN

Abstrakty

EN

In the paper an implementation of signal processing chain for a passive radar is presented. The passive radar which was developed at the Warsaw University of Technology, uses FM radio and DVB-T television transmitters as ”illuminators of opportunity”. As the computational load associated with passive radar processing is very high, NVIDIA CUDA technology has been employed for effective implementation using parallel processing. The paper contains the description of the algorithms implementation and the performance results analysis.

Słowa kluczowe

EN

PCL; passive coherent location; parallel implementation; NVIDIA CUDA

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2015
• Tom: Vol. 61, No. 4
• Strony: 357--363
• Opis fizyczny: Bibliogr. 17 poz., il., wykr.

Twórcy

autor

Szczepankiewicz K.

• Institute of Computer Science, Warsaw University of Technology, Poland

autor

Malanowski M.

• Institute of Electronic Systems, Warsaw University of Technology, Poland

autor

Szczepankiewicz M.

• Institute of Computer Science, Warsaw University of Technology, Poland

Bibliografia

• [1] H. Griffiths and C. Baker, “Passive coherent location radar systems. part 1: performance prediction,” Radar, Sonar and Navigation, IEE Proceedings -, vol. 152, no. 3, pp. 153-159, June 2005.
• [2] K. Szumski, M. Malanowski, J. Kulpa,W. Porczyk, and K. Kulpa, “Realtime software implementation of passive radar,” in Radar Conference, 2009. EuRAD 2009. European, Sept 2009, pp. 33-36.
• [3] K. Szczepankiewicz, M. Malanowski, and M. Szczepankiewicz, “Effective implementation of passive radar algorithms using general-purpose computing on graphics processing units,” in Signal Processing Symposium (SPSympo), 2015, June 2015, pp. 1-5.
• [4] M. Malanowski and K. Kulpa, “Digital beamforming for passive coherent location radar,” in Radar Conference, 2008. RADAR ’08. IEEE, May 2008, pp. 1-6.
• [5] K. Kulpa, “Adaptive clutter rejection in bi-static cw radar,” in International Radar Symposium, 2004, May 2004, pp. 61-66.
• [6] M. Malanowski, “Comparison of adaptive methods for clutter removal in pcl radar,” in Radar Symposium, 2006. IRS 2006. International, May 2006, pp. 1-4.
• [7] M. Malanowski, K. Kulpa, and K. Olsen, “Extending the integration time in dvb-t-based passive radar,” in Radar Conference (EuRAD), 2011 European, Oct 2011, pp. 190-193.
• [8] M. Malanowski, K. Kulpa, and J. Misiurewicz, “Acceleration estimation for passive coherent location radar,” in Radar Conference, 2008. RADAR ’08. IEEE, May 2008, pp. 1-5.
• [9] M. Malanowski, “Target acceleration estimation for continuous wave noise radar,” in Proc. International Radar Symposium 2005, September 2005, pp. 177-183.
• [10] L. Scharf and C. Demeure, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis, ser. Addison-Wesley series in electrical and computer engineering. Addison-Wesley Publishing Company, 1991. [Online]. Available: https://books.google.pl/books?id=yn dSAAAAMAAJ
• [11] (2015) Cuda computing guide. [Online]. Available: http://docs.nvidia.com/cuda/cuda-c-programming-guide/
• [12] D. Kirk and W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach. Elsevier Science, 2012. [Online]. Available: https://books.google.pl/books?id=E0Uaag8qicUC
• [13] (2015) The nvidia gtx titan. [Online]. Available: http://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan
• [14] N. Wilt, The CUDA Handbook: A Comprehensive Guide to GPU Programming. Pearson Education, 2013. [Online]. Available: https://books.google.pl/books?id=ynydqKP225EC
• [15] R. Farber, CUDA Application Design and Development, ser. Applications of GPU computing series. Morgan Kaufmann, 2011. [Online]. Available: https://books.google.pl/books?id=MtLvlQvYDOEC
• [16] (2015) Cuda toolkit documentation (cublas). [Online]. Available: http://docs.nvidia.com/cuda/cublas/
• [17] (2015) Cuda computing guide (cufft). [Online]. Available: http://docs.nvidia.com/cuda/cufft/

Uwagi

EN

This is the extended version of the ”Effective implementation of passive radar algorithms using General-Purpose computing on Graphics Processing Units” presented in Signal Processing Symposium, Debe, Poland, June 10-12, 2015.