This thesis presents the research and development of an alignment method for spatially diverse, decentralized, distributed phased array systems. The challenge of limited access to reliable alignment signals from a destination or other external primary control system is a significant hurdle for distributed antenna systems in the context of emerging 5G/6G technologies. Even without reference signals, the system is designed to remain fully functional. Decentralized and open-looped wireless sensor networks (WSNs) coordination can mitigate these issues. Still, it necessitates a high level of precision in signal agreement for proper signal operation, such as distributed antenna array beam forming.This work presents a wireless distributed system intended to complement a decentralized distributed wireless antenna array for communication and remote sensing systems without needing information from second or third-party entities to achieve consensus. The intent is also to demonstrate the partial independence of the syntonization from the synchronization approach. Through the sole use of software in software-defined radios (SDRs), I explore different parameter estimation techniques designed to reduce the residual error when the system achieves frequency consensus, presented as a proof of concept and initial research into such applications that leverage the use of this technique in legacy architecture.The system uses orthogonal frequency division multiplexing (OFDM) to identify transmitters. It implements an average consensus approach at a system level, which requires minimal prior information from neighboring nodes. This approach ensures that the frequencies converge to the desired residual error tolerance of less than 18◦, ensuring constructive interference with a relative power gain of 90% concerning an ideal constructively interfering set of signals.
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