MIMO radar ambiguity functions: a case study

Research output: Contribution to conferencePaper

8 Downloads (Pure)

Abstract

In recent years Multiple-Input Multiple-Output (MIMO) radar has been shown to offer enhanced performance. In traditional radar systems Woodward’s ambiguity function (AF) is normally used to characterize the performance of the operating waveform. Due to their higher degrees of freedom (DOF) however, MIMO radars’ performance cannot be sufficiently characterised by Woodward’s AF. While many formulations of MIMO AF have been proposed addressing different necessities for system characterisation, most of them do not provide a complete tool covering all the DOFs. In this paper we examine how parameters such as array geometry, operating waveform, and target model can effect the performance of the overall system. Additionally we propose a MIMO AF definition based on Kullback-Leibler divergence and compare it with different proposed formulations.
Original languageEnglish
Number of pages5
Publication statusPublished - 12 Dec 2016
Event11th IMA International Conference on Mathematics in Signal Processing - IET Austin Court, Birmingham, United Kingdom
Duration: 12 Dec 201614 Dec 2016
http://www.ima.org.uk/conferences/conferences_calendar/11th_maths_in_signal_processing.html

Conference

Conference11th IMA International Conference on Mathematics in Signal Processing
CountryUnited Kingdom
CityBirmingham
Period12/12/1614/12/16
Internet address

    Fingerprint

Keywords

  • multiple-input multiple-output ambiguity function
  • MIMO radar
  • Kullback-Leibler divergence
  • ambiguity function

Cite this

Ilioudis, C., Clemente, C., Proudler, I., & Soraghan, J. (2016). MIMO radar ambiguity functions: a case study. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.