%0 Conference Proceedings %T A Novel Approach of Brain Tumor Detection using Miniaturized High-Fidelity UWB Slot Antenna Array %+ Systèmes RF (XLIM-SRF) %+ Department of Electronics and Automation, Gazi University, Ankara, Turkey %A Ojaroudi, Mohammad %A Bila, Stéphane %A Salimi, Mahdi %< avec comité de lecture %( 2019 13th European Conference on Antennas and Propagation (EuCAP) %B European Conference on Antennas and Propagation %C Krakow, Poland %8 2019-03-31 %D 2019 %K Microwave Near-Field Imaging System %K UWB Microstrip Slot Antenna %K Defected Ground Structre (DGS) %K Confocal Image Reconctruction Algorithm %K Tumor Detection %K Focal Points %Z Engineering Sciences [physics]/Electromagnetism %Z Engineering Sciences [physics]/ElectronicsConference papers %X In this paper a novel high resolution of the array based ultra-wideband (UWB) microwave imaging system is employed to improve the accuracy of tumor detection inside human brain phantom for 2D reconstructed image results. In order to create a circular array based microwave imaging system 18 elements of the proposed UWB slot antennas are simulated in CST medium around the phantom inside a designed matching medium. The proposed slot antenna consists of a square radiating patch with a microstrip feed-line on one side, a rectangular slot and a defected ground plane by a pair of C-shaped slots on the other side which provides a wide usable fractional bandwidth of more than 100% (3.19-10.73 GHz). Two C-shaped slots are inserted on the ground plane's corners, hence additional resonance is excited and much wider impedance bandwidth is produced. In order to demonstrate the usefulness of the proposed antenna for microwave imaging system, the fidelity analysis for angles up to 90 away from bore-sight radiated pulses is presented (fidelity factor > 80%). In addition, a novel hierarchical calibration method is employed to improve the accuracy reconstructed image results. This calibration includes all delays of multi-static antenna array to put more energy at coherence reflected signal integration. Hence, stronger signals are available to achieve higher accuracy for precise spatial localization. In the proposed image reconstruction method a confocal image reconstructing algorithm based on backprojection method has been employed. Simulated results are presented to validate the effectiveness of the proposed method for precisely calculating the time-dependent location of targets. %G English %2 https://unilim.hal.science/hal-02377024/document %2 https://unilim.hal.science/hal-02377024/file/Paper2_EUCAP2019.pdf %L hal-02377024 %U https://unilim.hal.science/hal-02377024 %~ UNILIM %~ CNRS %~ XLIM %~ XLIM-SRF %~ TEST-HALCNRS