Ambiguity function for distributed MIMO radar systems

Christos V. Ilioudis, Carmine Clemente, Ian Proudler, John Soraghan

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)
123 Downloads (Pure)


In this paper a multi-static ambiguity function (AF) based on the Kullback directed divergence (KDD) and a distributed multiple-input and multiple-output radar system (DMRS) framework is introduced. Additionally a mathematical analysis is used to derive the AF in terms of signal-to-noise ratios (SNRs) and matched filter outputs. This method manages to extract an upper bound and properly define an AF bounded from 0 to 1. Moreover, this method leads in avoidance of large matrices inversions allowing less complex and more accurate computations. Finally the performance of the proposed method in localisation problems is assessed by comparing the proposed AF with the squared summation of the matched filter outputs at each receiver at different SNR scenarios.
Original languageEnglish
Number of pages6
Publication statusPublished - 2 Jun 2016
EventIEEE Radar Conference 2016 - Philadelphia, United States
Duration: 2 May 20166 May 2016


ConferenceIEEE Radar Conference 2016
Country/TerritoryUnited States


  • multi-static ambiguity function (AF)
  • distributed multiple-input and multiple-output radar system (DMRS)
  • kullback directed divergence (KDD)


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