A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers

M. Yaghoobi, M. Lexa, F. Millioz, M.E. Davies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The problem of efficient sampling of wideband Radar signals for Electronic Support Measures (ESM) is investigated in this paper. Wideband radio frequency sampling generally needs a sampling rate at least twice the maximum frequency of the signal, i.e. Nyquist rate, which is generally very high. However, when the signal is highly structured, like wideband Radar signals, we can use the fact that signals do not occupy the whole spectrum and instead, there exists a parsimonious structure in the time-frequency domain. Here, we use this fact and introduce a novel low complexity sampling system, which has a recovery guarantee, assuming that received RF signals follow a particular structure. The proposed technique is inspired by the compressive sampling of sparse signals and it uses a multi-coset sampling setting, however it does not involve a computationally expensive reconstruction step. We call this here Low-Complexity Multi-Coset (LoCoMC) sampling technique. Simulation results, show that the proposed sub-Nyquist sampling technique works well in simulated ES scenarios.
Original languageEnglish
Title of host publicationAcoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
Publication statusPublished - 1 May 2014

Keywords / Materials (for Non-textual outputs)

  • compressed sensing
  • radar receivers
  • radar signal processing
  • signal sampling
  • LoCoMC
  • compressive sampling
  • electronic support measures
  • low-complexity multicoset sampling setting
  • subNyquist sampling system
  • wideband radar ESM receivers
  • wideband radiofrequency sampling
  • Delays
  • Multiple signal classification
  • Radar
  • Receivers
  • Signal processing
  • Transforms
  • Wideband
  • Compressive Sampling
  • Electronic Support Measures
  • Electronic Surveillance
  • Sub-Nyquist Sampling
  • Wideband Radar


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