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Hardware optimized implementation of digital pulse compression based on FPGA

  • Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

for any radar system, the implementation of digital signal processing part based on FPGA is an important technology. This paper presents the FPGA based implementation of digital pulse compression algorithm for an LFM radar signal. Pulse compression is the expansion of frequency spectrum using matched filtering technique to improve the range resolution without affecting the long range detection performance of the radar system. For an LFM signal, fast convolution processing technique is used to implement the digital pulse compression algorithm using single FFT IP core both for FFT and IFFT operations. This algorithm reduces the number of complex multiplication in convolution and also reduces one FFT IP core to make the algorithm more optimized which is the focusing task of this article. Firstly, this algorithm is simulated in MATLAB and after that it is implemented on hardware using Xilinx FPGA and Xilinx ISE Design tool. Chosen FPGA is Virtex-5 (XUPV5-LX110T). For hardware implementation pipeline optimization is adopted during the implementation.

Original languageEnglish
Title of host publicationProceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016
EditorsPrasetyo Putranto, Yusuf Nur Wijayanto
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages48-53
Number of pages6
ISBN (Electronic)9781509061006
DOIs
StatePublished - 9 Feb 2017
Event2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016 - Jakarta, Indonesia
Duration: 3 Oct 2016 → 5 Oct 2016

Publication series

NameProceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016

Conference

Conference2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016
Country/TerritoryIndonesia
CityJakarta
Period3/10/16 → 5/10/16

Keywords

  • FPGA
  • Fast Convolution Processing
  • LFM (Linear Frequency Modulation)
  • MATLAB
  • Pulse Compression
  • Time Convolution
  • Xilinx ISE (Integrated Synthesis Environment)

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