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Communication dans un congrès

Multiple Time-Variant Targets Detection using MIMO Radar Framework for Cerebrovascular Monitoring

Mohammad Ojaroudi 1 Stephane Bila 1 
1 XLIM-SRF - Systèmes RF
XLIM - XLIM : SRF
Abstract : This paper presents a multi-input multi-output (MIMO) radar framework to detect the activated brain regions as a multiple target scenario for cerebrovascular monitoring applications. For this purpose, a setup of microwave brain monitoring system is designed to extract cerebrovascular information from the simulated full head phantom. The proposed setup includes multilayer brain phantom with varying blood vessel and bowtie antenna with precisely realized matching medium, which provides a fractional bandwidth from 0.5 to 5 GHz. In order to extract dynamic information from the blood vessel dilation, first, a single vessel with dilation properties, second two vessels located in different ranges and third two targets with different dilation rates are considered. The spectrogram and CFAR methods are used to show the vessel dilation and extract doppler information. Simulated results from all scenarios are presented to demonstrate the fruitfulness of the proposed method for precisely detecting the time-dependent characteristics of cerebrovascular targets.
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Communication dans un congrès
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https://hal-unilim.archives-ouvertes.fr/hal-03455450
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Soumis le : lundi 29 novembre 2021 - 16:25:44
Dernière modification le : dimanche 26 juin 2022 - 03:22:02

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Mohammad Ojaroudi, Stephane Bila. Multiple Time-Variant Targets Detection using MIMO Radar Framework for Cerebrovascular Monitoring. 2021 15th European Conference on Antennas and Propagation (EuCAP), Mar 2021, Dusseldorf, Germany. pp.1-5, ⟨10.23919/EuCAP51087.2021.9411329⟩. ⟨hal-03455450⟩

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