7 papers
Integrated Image Reconstruction and Target Recognition based on Deep Learning Technique
Cien Zhang, Jiaming Zhang, Jiajun He +1
Computational microwave imaging (CMI) has gained attention as an alternative technique for conventional microwave imaging techniques, addressing their limitations such as hardware-…
Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays
Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven +1
We propose a novel approach for boosting the realized gain in enhanced directivity arrays with both active and parasitic dipoles as radiating elements. The optimization process inv…
Near-Field Localization with Antenna Arrays in the Presence of Direction-Dependent Mutual Coupling
Zohreh Ebadi, Amir Masoud Molaei, George C. Alexandropoulos +4
Localizing near-field sources considering practical arrays is a recent challenging topic for next generation wireless communication systems. Practical antenna array apertures with…
Near-Field Localization with an Exact Propagation Model in Presence of Mutual Coupling
Zohreh Ebadi, Amir Masoud Molaei, Muhammad Ali Babar Abbasi +3
Localizing near-field sources considering practical arrays is important in wireless communications. Array-based apertures exhibit mutual coupling between the array elements, which…
Optimization of Super-Directive Linear Arrays with Differential Evolution for High Realized Gain
Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou
Due to the low impedance and high feeding currents, it is naturally challenging to design super-directive antenna arrays that perfectly match the feed line, and this becomes almost…
Super-Directive Antenna Arrays: How Many Elements Do We Need?
Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou
Super-directive antenna arrays have faced challenges in achieving high realized gains ever since their introduction in the academic literature. The primary challenges are high impe…