Generalised ambiguity function for MIMO radar systems

Research output: Contribution to journalArticle

Abstract

In this work a generalised signal model is presented to accommodate both narrowband and wideband signals in a multi-input multi-output (MIMO) sensor system scenarios. The derived model is then used to define a MIMO ambiguity function (AF) based on the Kullback-Leibler divergence (KLD). Moreover, the proposed formulation is parametrised using the signal and channel correlation matrices to account for different waveform and sensor placement designs, thereby allowing a flexible modelling approach. A comparison between the proposed definition and the more conventional approach of summing the squared matched filter outputs is presented for different sensors and waveforms configurations.
LanguageEnglish
Number of pages16
JournalIEEE Transactions on Aerospace and Electronic Systems
Early online date2 Apr 2019
DOIs
Publication statusE-pub ahead of print - 2 Apr 2019

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Radar systems
Sensors
Matched filters

Keywords

  • multiple input multiple output systems
  • MIMO AF
  • multiple input multiple output ambiguity function
  • Kullback-Leibler divergence

Cite this

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abstract = "In this work a generalised signal model is presented to accommodate both narrowband and wideband signals in a multi-input multi-output (MIMO) sensor system scenarios. The derived model is then used to define a MIMO ambiguity function (AF) based on the Kullback-Leibler divergence (KLD). Moreover, the proposed formulation is parametrised using the signal and channel correlation matrices to account for different waveform and sensor placement designs, thereby allowing a flexible modelling approach. A comparison between the proposed definition and the more conventional approach of summing the squared matched filter outputs is presented for different sensors and waveforms configurations.",
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author = "Ilioudis, {Christos V.} and Carmine Clemente and Ian Proudler and John Soraghan",
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