Abstract:
The efficiency of wireless communication systems heavily relies on the precise alignment of antennas. Manual Antenna alignment is one of the serious issue in correspondence framework after each terrible climate and downpour. This issue is extremely feverish in regions where weather conditions is blustery and breezy. After each windstorm there is a need to adjust all directional Antenna alignment physically. Subsequently this undertaking has been gotten to fulfill the rising need of programmed recieving antenna alignment framework and supplant manual rotation of Antenna alignment. Keeping this in view, this paper expects to develop an advanced Automatic Antenna Alignment System (AAS) designed to optimize the alignment process, thereby enhancing communication performance in various applications such as satellite communication, terrestrial point-to-point links. The proposed AAAS integrates state-of-the-art technologies including algorithms, computer vision techniques, and real-time feedback mechanisms to automate and refine antenna alignment procedures. Antenna alignment framework with ability to filter in both azimuthal and elevation plane, get signal strength and change itself as per maximum RSS. Furthermore, computer vision algorithms enable the AAAS to accurately detect and track antenna positions relative to their optimal orientation, even in challenging environmental conditions such as adverse weather or low visibility. Real-time feedback mechanisms ensure continuous monitoring and adjustment of antenna alignment to maintain optimal signal strength and reliability. This paper plans to give a top to bottom survey of antenna alignment with an array of any antenna to receive signals from a fixed transmitter, and adjust itself according to maximum RSS.
