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http://dx.doi.org/10.7471/ikeee.2020.24.1.339

Design of MUSIC-based DoA Estimator for Bluetooth Applications  

Kim, Jongmin (School of Electronics and Information Engineering, Korea Aerospace University)
Oh, Dongjae (School of Electronics and Information Engineering, Korea Aerospace University)
Park, Sanghoon (School of Electronics and Information Engineering, Korea Aerospace University)
Lee, Seunghyeok (School of Electronics and Information Engineering, Korea Aerospace University)
Jung, Yunho (School of Electronics and Information Engineering, Korea Aerospace University)
Publication Information
Journal of IKEEE / v.24, no.1, 2020 , pp. 339-346 More about this Journal
Abstract
In this paper, we propose an angle estimator that is designed to be applied to Bluetooth low-power application technology based on multiple signal classification (MUSIC) algorithm, and present the result of implementation in FPGA. The MUSIC algorithm is designed for H/W high-speed design because it requires a lot of calculations due to high accuracy, and the snapshot variable is designed to cope with various resolution requirements of indoor systems. As a result of the implementation with Xilinx zynq-7000, it was confirmed that 9,081 LUTs were implemented, and it was designed to operate at =the operating frequency of 100MHz.
Keywords
multiple signal classification; frequency modulated continuous wave radar; range resolution; angle resolution; computational complexity;
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