MIMO radar ambiguity functions: a case study

Christos Ilioudis; Carmine Clemente; Ian Proudler; John Soraghan

MIMO radar ambiguity functions: a case study

Christos Ilioudis, Carmine Clemente, Ian Proudler, John Soraghan

Electronic And Electrical Engineering

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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 language	English
Number of pages	5
Publication status	Published - 12 Dec 2016
Event	11th IMA International Conference on Mathematics in Signal Processing - IET Austin Court, Birmingham, United Kingdom Duration: 12 Dec 2016 → 14 Dec 2016 http://www.ima.org.uk/conferences/conferences_calendar/11th_maths_in_signal_processing.html

Conference

Conference	11th IMA International Conference on Mathematics in Signal Processing
Country/Territory	United Kingdom
City	Birmingham
Period	12/12/16 → 14/12/16
Internet address	http://www.ima.org.uk/conferences/conferences_calendar/11th_maths_in_signal_processing.html

Keywords

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

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title = "MIMO radar ambiguity functions: a case study",

abstract = "In recent years Multiple-Input Multiple-Output (MIMO) radar has been shown to offer enhanced performance. In traditional radar systems Woodward{\textquoteright}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{\textquoteright} performance cannot be sufficiently characterised by Woodward{\textquoteright}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.",

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AU - Ilioudis, Christos

AU - Clemente, Carmine

AU - Proudler, Ian

AU - Soraghan, John

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N2 - 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.

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

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KW - Kullback-Leibler divergence

KW - ambiguity function

M3 - Paper

Y2 - 12 December 2016 through 14 December 2016

ER -

MIMO radar ambiguity functions: a case study

Abstract

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Keywords

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