Generalised ambiguity function for MIMO radar systems
Ilioudis, Christos V. and Clemente, Carmine and Proudler, Ian and Soraghan, John (2019) Generalised ambiguity function for MIMO radar systems. IEEE Transactions on Aerospace and Electronic Systems. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2019.2907390)
Preview |
Text.
Filename: Ilioudis_etal_IEEE_TAES_2019_Generalised_ambiguity_function_for_MIMO_radar.pdf
Accepted Author Manuscript Download (6MB)| Preview |
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.
ORCID iDs
Ilioudis, Christos V. ORCID: https://orcid.org/0000-0002-7164-6461, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X, Proudler, Ian and Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391;-
-
Item type: Article ID code: 67206 Dates: DateEvent2 April 2019Published2 April 2019Published Online13 August 2018AcceptedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 07 Mar 2019 09:53 Last modified: 21 Dec 2024 01:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67206