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http://dx.doi.org/10.12673/jant.2021.25.4.305

Design of FMCW Radar Signal Processor for Human and Objects Classification Based on Respiration Measurement  

Lee, Yungu (School of Electronics and Information Eng., Korea Aerospace University)
Yun, Hyeongseok (School of Electronics and Information Eng., Korea Aerospace University)
Kim, Suyeon (School of Electronics and Information Eng., Korea Aerospace University)
Heo, Seongwook (School of Electronics and Information Eng., Korea Aerospace University)
Jung, Yunho (School of Electronics and Information Eng., Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.25, no.4, 2021 , pp. 305-312 More about this Journal
Abstract
Even though various types of sensors are being used for security applications, radar sensors are being suggested as an alternative due to the privacy issues. Among those radar sensors, PD radar has high-complexity receiver, but, FMCW radar requires fewer resources. However, FMCW has disadvantage from the use of 2D-FFT which increases the complexity, and it is difficult to distinguish people from objects those are stationary. In this paper, we present the design and the implementation results of the radar signal processor (RSP) that can distinguish between people and object by respiration measurement using phase estimation without 2D-FFT. The proposed RSP is designed with Verilog-HDL and is implemented on FPGA device. It was confirmed that the proposed RSP includes 6,425 LUT, 4,243 register, and 12,288 memory bits with 92.1% accuracy for target's breathing status.
Keywords
Frequency modulated continuous wave; Phase estimation; Radar; Respiration; Target detection;
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Times Cited By KSCI : 1  (Citation Analysis)
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