Using 2D AESA technologies for various applications (such as radars, 5G antennas…), presents many advantages such as robustness or multiple beamforming. However it also presents the challenge of integrating dense RF circuits on meshes as small as the operational frequency gets high.
Many new applications will have to include new sensors for passive detection or communications, increasing the number of components to integrate in the antenna front end.
To meet this challenge, the miniaturization of the RF components is intensively studied. Another complementary approach is to decrease the number of channels to feed, decreasing automatically the number of components to integrate. This solution presents the advantage to address the integration as well as to decrease the cost and weight. However, in classical array geometries, increasing mesh size goes with side-lobe levels increase and scan blindness.
The aim of this post-doctoral proposal is to develop new array designs surpassing this limitation by mutual coupling optimization. Two main architectures, Sparse arrays and ESPAR concepts, will be compared minimizing or maximizing intentionally mutual couplings.
For the both architectures, mutual couplings play a key role as they impact the beam steering as well as the antenna calibration, load pull and DOA estimation. In this project we propose to study these couplings and to evaluate different approaches to take them into account while designing antennas.
More details in this document.