作者: Omar Mohammed Bakr
DOI:
关键词: Adaptive beamformer 、 Antenna (radio) 、 Circuit design 、 Antenna array 、 Signal processing 、 Beamforming 、 Electronic engineering 、 Radio frequency 、 Smart antenna 、 Engineering
摘要: Author(s): BAKR, Omar Mohammed | Advisor(s): Niknejad, Ali M; Brewer, Eric A Abstract: Many state-of-the-art wireless systems, such as long distance networks (point-to-point, point-to-multipoint, and mesh) high bandwidth using mm-wave frequencies, require gain antennas to overcome adverse channel conditions. These could be greatly aided by adaptive beamforming antenna arrays, which can significantly simplify the installation maintenance costs (e.g., enabling automatic beam alignment), improve capacity of these networks. Such typically gains ranging from 20-30dBi with wide scanning range in both dimensions. To achieve this, arrays hundreds or even thousands are required, cannot done existing techniques that do not scale very well beyond 10-20 antennas. In this dissertation, we examine address main challenges presented large starting electromagnetic/antenna radio circuit design proceeding signal processing algorithms domain. We propose 3-dimensional array structures realize scan angles at a much reduced size form factor compared conventional planar At level, hybrid RF/digital architecture takes advantage low cost silicon integration reduce overall component count power consumption levels system without limiting capacity. consider different for implementingcompact beamformers reliably present based on filtering methods optimizing those beamformers. The performance implications precision analog implementation errors also analyzed quantified, computationally efficient vector quantizationtechniques take compensate proposed. validate our approach mathematical proofs computer simulations.