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Hardware Resource Optimized Detection of LFM Signals with Unknown Start Frequency and Frequency Rate

  • Arash Shokouhmand
  • Yaser NorouziEmail author
  • Amir H. Oveis
  • Ali A. Dezfuli
Article
  • 5 Downloads

Abstract

Detection of very low-SNR LFM signals with unknown start frequency and frequency rate is of great interest both in electronic support measure (ESM), and radio astronomy. The direct method for LFM signal detection needs a bank of matched-filters which is a really hardware consuming solution. As another solution, a bank of de-ramping blocks, followed by FFT units, can be used with the same performance as matched-filters bank. In such an alternative solution, with no optimization constraint, it is quite likely to reach a hardware extensive solution with limited processing gain. In this paper, a novel method based on de-ramping bank is proposed. Also, an optimization problem is developed, which could determine the optimum values for detection structure’s parameters, e.g. number of channels, as well as FFT length. It is shown that, the optimized detector features better processing gain in comparison to the non-optimized versions. Furthermore, adding a moving average at the output of the FFT could make remarkable improvement on detection performance. Moreover, the proposed detector is compared against the conventional methods in terms of detection performance and computational complexity characteristic, which aptly prove the superiority of the proposed method.

Keywords

LFM signal LPI detection Hardware-optimized implementation Low computational complexity 

Notes

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Amirkabir University of TechnologyTehranIran
  2. 2.Ferdowsi University of MashhadMashhadIran

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