MIMO radar ambiguity functions: a case study

Research output: Contribution to conferencePaper

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.

Conference

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

Fingerprint

Radar
Radar systems
Geometry

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.
Ilioudis, Christos ; Clemente, Carmine ; Proudler, Ian ; Soraghan, John. / MIMO radar ambiguity functions : a case study. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.5 p.
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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, 12/12/16 - 14/12/16, .

MIMO radar ambiguity functions : a case study. / Ilioudis, Christos; Clemente, Carmine; Proudler, Ian; Soraghan, John.

2016. Paper presented at 11th IMA International Conference on Mathematics in Signal Processing , Birmingham, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - MIMO radar ambiguity functions

T2 - a case study

AU - Ilioudis, Christos

AU - Clemente, Carmine

AU - Proudler, Ian

AU - Soraghan, John

PY - 2016/12/12

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AB - 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.

KW - multiple-input multiple-output ambiguity function

KW - MIMO radar

KW - Kullback-Leibler divergence

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