scholarly journals C-Band FMCW Radar Design and Implementation for Breathing Rate Estimation

2020 ◽  
Vol 5 (5) ◽  
pp. 1299-1307
Author(s):  
Mohammad Mohammad Abdul-Atty ◽  
Ahmed Sayed Ismail Amar ◽  
Mohamed Mabrouk
Keyword(s):  
Breathing Rate ◽  
Fmcw Radar ◽  
Rate Estimation ◽  
Design And Implementation

ComplexBeat: Breathing Rate Estimation from Complex CSI

2021 ◽  
Author(s):  
Sitian Li ◽  
Andreas Toftegaard Kristensen ◽  
Andreas Burg ◽  
Alexios Balatsoukas-Stimming
Keyword(s):  
Breathing Rate ◽  
Rate Estimation

scholarly journals FPGA Implementation of an Efficient FFT Processor for FMCW Radar Signal Processing

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6443
Author(s):  
Jinmoo Heo ◽  
Yongchul Jung ◽  
Seongjoo Lee ◽  
Yunho Jung
Keyword(s):  
Signal Processing ◽  
Detection Rate ◽  
Continuous Wave ◽  
Vital Signs ◽  
Radar Signal ◽  
Radar Signal Processing ◽  
Fmcw Radar ◽  
Design And Implementation ◽  
Fft Processor ◽  
Point Operator

This paper presents the design and implementation results of an efficient fast Fourier transform (FFT) processor for frequency-modulated continuous wave (FMCW) radar signal processing. The proposed FFT processor is designed with a memory-based FFT architecture and supports variable lengths from 64 to 4096. Moreover, it is designed with a floating-point operator to prevent the performance degradation of fixed-point operators. FMCW radar signal processing requires windowing operations to increase the target detection rate by reducing clutter side lobes, magnitude calculation operations based on the FFT results to detect the target, and accumulation operations to improve the detection performance of the target. In addition, in some applications such as the measurement of vital signs, the phase of the FFT result has to be calculated. In general, only the FFT is implemented in the hardware, and the other FMCW radar signal processing is performed in the software. The proposed FFT processor implements not only the FFT, but also windowing, accumulation, and magnitude/phase calculations in the hardware. Therefore, compared with a processor implementing only the FFT, the proposed FFT processor uses 1.69 times the hardware resources but achieves an execution time 7.32 times shorter.

Breathing Rate Estimation Using Kalman Smoother With Electrocardiogram and Photoplethysmogram

2020 ◽  
Vol 67 (3) ◽  
pp. 893-904 ◽  
Author(s):  
Soumaya Khreis ◽  
Di Ge ◽  
Hala Abdul Rahman ◽  
Guy Carrault
Keyword(s):  
Breathing Rate ◽  
Rate Estimation ◽  
Kalman Smoother
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