Sub-Nyquist collocated MIMO radar in time and space

David Cohen, Deborah Cohen, Yonina C. Eldar, Alexander M. Haimovich

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

2 Scopus citations


Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional monostatic radar by exploiting transmit waveform diversity. Achieving high resolution requires a large number of transmit and receive antennas. In addition, the digital processing is performed on samples of the received signal at its Nyquist rate, which can be high. Overcoming the rate bottleneck, sub-Nyquist sampling methods have been proposed that break the link between monostatic radar signal bandwidth and sampling rate. In this work, we extend theses methods to MIMO radar and apply the Xampling framework both in the time and spatial domains, achieving reduction in the number of deployed antennas and the number of samples per receiver, without degrading the time and spatial resolutions.

Original languageEnglish (US)
Title of host publication2016 IEEE Radar Conference, RadarConf 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008636
StatePublished - Jun 3 2016
Event2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States
Duration: May 2 2016May 6 2016

Publication series

Name2016 IEEE Radar Conference, RadarConf 2016


Other2016 IEEE Radar Conference, RadarConf 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Instrumentation


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