Occupancy Detection Using a Frequency-Modulated Phase- and Self-Injection-Locked (FMPSIL) Radar and Two-Stage Generalized Likelihood Ratio Test (GLRT) Algorithm

This study proposed a frequency-modulated phase- and self-injection-locked (FMPSIL) radar for occupancy detection. Compared to the conventional range-Doppler map, which performs occupancy detection by obtaining the vital sign of the subject using 2-D fast Fourier transform (2-D-FFT), this study prop...

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Veröffentlicht in:IEEE transactions on microwave theory and techniques Jg. 72; H. 8; S. 4908 - 4918
Hauptverfasser: Shih, Ju-Yin, Zhong, Ji-Xun, Wang, Fu-Kang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Computational efficiency
Continuous wavelet transforms
Cost analysis
Detection algorithms
Fast Fourier transformations
Frequency conversion
Frequency locking
Frequency modulation
Frequency-modulated continuous wave (FMCW)
generalized likelihood ratio test (GLRT)
Injection-locked oscillators
Likelihood ratio
Moving targets
occupancy detection
Phase frequency detectors
phase- and self-injection-locked (PSIL) radar
Probability density function
probability density function (pdf)
Probability density functions
Radar detection
Sensors
Signal detection
Target detection
Temperature sensors
Time domain analysis
ISSN:0018-9480, 1557-9670
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Zusammenfassung:This study proposed a frequency-modulated phase- and self-injection-locked (FMPSIL) radar for occupancy detection. Compared to the conventional range-Doppler map, which performs occupancy detection by obtaining the vital sign of the subject using 2-D fast Fourier transform (2-D-FFT), this study proposed a two-stage generalized likelihood ratio test (GLRT) algorithm to overcome the leakage problem in the spectrum and increase occupancy detection accuracy. The use of the probability density function (pdf)-based GLRT analysis in the time domain reduced the required computational cost and observation time. To demonstrate the feasibility of the proposed two-stage GLRT algorithm, experiments were conducted for a 600-min dataset in a cluttered environment, the algorithm achieved a detection accuracy of 97.32% at an observation time of 5 s for a single moving target, and multitarget occupancy detection was also achieved.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2023.3349154