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A Method of Multi-Channel Data Reception and Processing Noise for Short Distance Detection Doppler Radar


Affiliations
1 Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, Korea, Democratic People's Republic of
     

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In short distance detection Doppler radar signal processing, the communication and processing problems of various measurement and control signals such as mass data which are high speed A/D converted intermediate frequency signals of transmission and reception terminals and azimuth angle, altitude are suggested. In this paper we suggest one method for time sharing data communication and noise processing by determining threshold by using the transmission line of limited bits in connection of analog circuits consisting of electromagnetic transmission and reception antenna and various control, measuring circuits and FPGA+DSP type digital signal processing circuits and showed experiment results.

Keywords

Doppler, DSP+FPGA, Digital Signal Processing System.
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  • Fan Xikun et al., “Real-Time Implementation of Airborne Radar Space-Time Adaptive Processing on Multi-DSP System”, Proceedings of IEEE Conference on Radar, pp. 481-486, 2006.

  • P. Lacomme, J.C. Marchais, J.P. Hardange and E. Normant, “Air and Spaceborne Radar Systems: An Introduction”, William Andrew Publishing, 2001.

  • G.W. Stimson, “Introduction to Airborne Radar”, Sci Tech Publishing, 1998.

  • TMS320C6000 User’s Guide, Available at: http://www.ti.com/lit/ug/spru303b/spru303b.pdf.

  • V.C. Chen and H. Ling, “Time-Frequency Transforms for Radar Imaging and Signal Analysis”, Artech House, 2002

  • W. Wu, J. Wang, W. Li and W. Zhang, “Design Methods of Multi-DSP Parallel Processing System”, Proceedings of IEEE World Congress on Computer Science and Information Engineering, Vol. 3, No. 1, pp. 458-464, 2009.

  • K.C. Gryllias and I.A. Antoniadis, “Estimation of the Instantaneous Rotation Speed using Complex Shifted Morlet Wavelets”, Mechanical Systems and Signal Processing, Vol. 38, No. 1, pp. 78-95, 2013.

  • K.W. Forsythe and D.W. Bliss, “Waveform Correlation and Optimization Issues for MIMO Radar”, Proceedings of 39th Asilomar Conference on Signals, Systems and Computers, pp. 1306-1310, 2005.

  • S.M. Kay, “Fundamentals of Statistical Signal Processing: Estimation Theory”, Prentice Hall, 1993.

  • X. Hong, W. Jun and Z. Yuxi, “Parallel Implementation of High Resolution Radar Signal Processing System based on Multi-IC Architecture”, Proceedings of IEEE Conference on Radar, pp. 812-815, 2013.

  • H. Zhang, H.Q. Liusuhua and Y. Haiguang, “The Design for LVDS High speed Data Acquisition and Transmission System based on FPGA”, Proceedings of IEEE Conference on Radar, pp. 383-386, 2011.

  • Yuan Changshun et al., “A Novel Design of Parallel and High-Speed Signal Processor Architecture for PD Radar”, Proceedings of IEEE Conference on Radar, pp. 551-556, 2013.

  • M. Li et al., “Research on Parallel Debugger in Bus-Based Multi-DSP System in Radar Data Processing”, Proceedings of IEEE Conference on Radar, pp. 236-241, 2013.

  • J. Li and P. Stoica, “MIMO Radar Signal Processing”, John Wiley and Sons, 2009.

  • W. Li, H. Zhang, H.P. Hildre and J. Wang, “An FPGA-based Real-Time UAV SAR Raw Signal Simulator”, IEICE Electronics Express, Vol. 11, No. 11, pp. 1-13, 2014.

  • E.N. Ganesh and V. Krishnan, “Study and Implementation of MUX based FPGA in QCA Technology”, International Journal of Distributed and Parallel Systems, Vol. 2, No. 3, pp. 51-61, 2011.

  • I.A. Antoniadis, C.T. Yiakopoulos, K.C. Gryllias and K.I. Rodopoulos, “IFESIS: Instantaneous Frequencies Estimation via Subspace Invariance Properties of Wavelet Structures”, Mechanical Systems and Signal Processing, Vol. 49, No. 1-2, pp. 264-284, 2014.

  • T.A. Nguyen, E.H. Chan and R.A. Minasian, “Instantaneous High-Resolution Multiple-Frequency Measurement System based on Frequency-to-Time Mapping Technique”, Optics letters, Vol. 39, No. 8, pp. 2419-2422, 2014.

  • Y. Wang and B. Zhao, “Inverse Synthetic Aperture Radar Imaging of Nonuniformly Rotating Target based on the Parameters Estimation of Multicomponent Quadratic Frequency-Modulated Signals”, IEEE Sensors Journal, Vol. 15, No. 7, pp. 4053-4061, 2015.

  • K. Rodopoulos, C. Yiakopoulos and I. Antoniadis, “A Parametric Approach for the Estimation of the Instantaneous Speed of Rotating Machinery”, Mechanical Systems and Signal Processing, Vol. 44, No. 1-2, pp. 31-46, 2014.


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  • A Method of Multi-Channel Data Reception and Processing Noise for Short Distance Detection Doppler Radar

Abstract Views: 372  |  PDF Views: 0

Authors

Dok Gil Kang
Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, Korea, Democratic People's Republic of
Jang Su Kim
Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, Korea, Democratic People's Republic of
Il Han
Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, Korea, Democratic People's Republic of
Kyong Chol Rim
Institute of Information Science, Kim Il Sung University, D.P.R. of Korea, Korea, Democratic People's Republic of

Abstract


In short distance detection Doppler radar signal processing, the communication and processing problems of various measurement and control signals such as mass data which are high speed A/D converted intermediate frequency signals of transmission and reception terminals and azimuth angle, altitude are suggested. In this paper we suggest one method for time sharing data communication and noise processing by determining threshold by using the transmission line of limited bits in connection of analog circuits consisting of electromagnetic transmission and reception antenna and various control, measuring circuits and FPGA+DSP type digital signal processing circuits and showed experiment results.

Keywords


Doppler, DSP+FPGA, Digital Signal Processing System.

References