2025/12/22 by Jiaji Ren, Ren, Jiaji, Ye Tian +13
Computer Science · Engineering · #Antenna (radio) #Antenna array #Direction of arrival #Direction-of-Arrival Estimation Techniques #FOS: Electrical engineering #Multiple signal classification #Radar Systems and Signal Processing #Reconfigurability #Sensor array #Signal Processing (eess.SP) #Smart antenna #Speech and Audio Processing #Work (physics) #electronic engineering #information engineering
paper · open access · doi:10.48550/arxiv.2512.18981
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2025/12/22 · openalex created_date 2025/12/24 · openalex updated_date 2026/07/28
Direction of Arrival (DOA) estimation serves as a critical sensing technology poised to play a vital role in future intelligent and ubiquitous communication systems. Despite the development of numerous mature super-resolution algorithms, the inherent end-fire effect problem in fixed antenna arrays remains inadequately addressed. This work proposed a novel array architecture composed of fluid antennas. By exploiting the spatial reconfigurability of their positions to equivalently modulate the array steering vector and integrating it with the classical MUSIC algorithm, this approach achieved high-precision DOA estimation. Simulation results demonstrated that the proposed method delivers outstanding estimation performance even in highly challenging end-fire regions.