Antijamming crpa signal processing with jammer position finding

The demand for application-specific integrated circuit (ASIC) units has diminished due to advancements in software-based radio systems, concurrently improving signal processing accuracy. These software-based radios (SDR) have eliminated the need for externally integrated active components like phase shifters in RF front-end and FPGA signal processing units, especially in tasks such as pattern shaping. Antennas controlling orientation are extensively used in mobile terrestrial, aerial, and maritime vehicles. Primarily components of communication and positioning systems, these systems effectively capture and process incoming signals using multiple antenna units in a controlled manner. Traditionally, these systems suppress mixing signals by aligning their respective antenna phases suitably. Systems managed by phase differences require improvements in terms of control. Specifically, this thesis aims to enhance target signal suppression by simultaneously running traditional phased array algorithms alongside the MUSIC (Multiple Signal Classification) algorithm, operating with feedback. The manuscript outlines existing systems, hardware, algorithms, and their applications, elaborating on the implementation method for the proposed solution to the stated problem. The MUSIC algorithm, integrated mainly with phase shifting for pattern control, concurrently determines the position of the mixing signal in real-time. Achieving suppression up to 40 dB necessitates knowledge of the threat signal's position based on its intended use, thus defining real-time usage constraints within integrated systems. Bit Error Rate (BER) and the number of satellites used can serve as another feedback logic reference. The intended number of satellites employed in a hybrid structure has also been added as a control parameter. The aim of feedback beamforming applications is to achieve comparable performance in terms of suppression to traditional phased array systems, yet the concurrent multiple processing can eliminate the necessity of other systems serving different purposes (such as GPS Jammer SIGINT). Consequently, this thesis aims to integration MUSIC (Multiple Signal Classification) algorithm simultaneously and detail the algorithm and hardware infrastructure for existing receiver and transmitter systems concerning pattern management, elucidating the concurrent and feedback-driven operation of the MUSIC algorithm, ensuring high accuracy.