A Reconfigurable Full-Digital Architecture for Angle of Arrival Estimation

被引:18
作者
Florio, Antonello [1 ]
Avitabile, Gianfranco [1 ]
Talarico, Claudio [2 ]
Coviello, Giuseppe [1 ]
机构
[1] Polytech Univ Bari, Dept Elect & Informat Engn, I-70125 Bari, Italy
[2] Gonzaga Univ, Dept Elect & Comp Engn, Spokane, WA 99258 USA
关键词
Direction-of-arrival; angle-of-arrival; localization; field-programmable gate arrays; phase detection; phase interferometry; real-time localization systems;
D O I
10.1109/TCSI.2023.3345161
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, Real-Time Localization Systems (RTLS) are gaining significant attention from the scientific community. Usually, RLTS rely on positioning techniques based on the electromagnetic (e.m.) propagation properties of the received signals. Among the many possible approaches, RTLS based on the Angle-of-Arrival (AoA) estimation allows for accurate results with a comparatively lower number of receivers. In this work, we propose a novel, fully digital synchronous architecture for AoA estimation based on phase interferometry. After reviewing the state-of-the-art on full-hardware techniques for localization, the main blocks composing the proposed architecture, are discussed in detail, along with their dimensioning equations. The granularity with which the system estimates the phase shifts used to compute the AoA is reconfigurable according to the desired accuracy. The architecture is lightweight and computes the AoA in real-time. To validate the proposed approach, the RTLS architecture has been implemented on an Intel Cyclone IV E EP4CE115F29C7 FPGA board interfaced with a custom-designed receiver front-end, and experimental results on benchmark applications have been collected and analyzed.
引用
收藏
页码:1443 / 1455
页数:13
相关论文
共 35 条
[1]   TDAoA: A combination of TDoA and AoA localization with LoRaWAN [J].
Aernouts, Michiel ;
BniLam, Noori ;
Berkvens, Rafael ;
Weyn, Maarten .
INTERNET OF THINGS, 2020, 11
[2]  
[Anonymous], 2022, IEEE INTERNET THINGS, V9, P7680
[3]  
[Anonymous], 2011, P 7 INT C WIR COMM S
[4]   Angle of Arrival Estimation Through a Full-Hardware Approach for Adaptive Beamforming [J].
Avitabile, Gianfranco ;
Florio, Antonello ;
Coviello, Giuseppe .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (12) :3033-3037
[5]  
Barabell A. J., 1983, Proceedings of ICASSP 83. IEEE International Conference on Acoustics, Speech and Signal Processing, P336
[6]  
BniLam N., 2022, P 2022 16 EUROPEAN C, P1
[7]  
Boonyanant P, 2004, TENCON IEEE REGION, pA547
[8]   Towards Low Latency and Resource-Efficient FPGA Implementations of the MUSIC Algorithm for Direction of Arrival Estimation [J].
Butt, Uzma M. ;
Khan, Shoab A. ;
Ullah, Anees ;
Khaliq, Abdul ;
Reviriego, Pedro ;
Zahir, Ali .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 68 (08) :3351-3362
[9]   An Efficient Hardware Accelerator for the MUSIC Algorithm [J].
Chen, Hui ;
Chen, Kai ;
Cheng, Kaifeng ;
Chen, Qinyu ;
Fu, Yuxiang ;
Li, Li .
ELECTRONICS, 2019, 8 (05)
[10]   Hardware-Efficient Beamspace Direction-of-Arrival Estimator for Unequal-Sized Subarrays [J].
Guo, Ziyu ;
Wang, Weizhen ;
Wang, Xiaodong ;
Zeng, Xiaoyang .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (03) :1044-1048