Radar Noise Floor Method for Occupancy Detection

Authors

  • Pooja Nuti Department of Electrical Engineering University of Hawaii at Manoa, Honolulu, HI 96822, USA
  • Ehsan Yavari Adnoviv LLC Adnoviv LLC, Honolulu, HI 96822, USA
  • Olga Boric-Lubecke Department of Electrical Engineering University of Hawaii at Manoa, Honolulu, HI 96822, USA

Keywords:

Doppler radar, noise level, occupancy detection, Root-Mean-Square (RMS)

Abstract

A 2.4 GHz continuous wave Doppler radar sensor is utilized to carry out occupancy detection through detection of human presence over an empty room based on time domain root-mean-square (RMS) values. An existing system-on-chip with custom-made baseband board is employed for developing the radio.

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References

X. Guo, D. K. Tiller, G. P. Henze, and C. E. Waters, “The performance of occupancy-based lighting control systems: A review,” Lighting Research and Technology, vol. 42, no. 4, pp. 415- 431, 2010.

M. Kumar, D. Garge, and R. Zachery, “Multisensor fusion strategy to obtain 3-D occupancy profile,” Proceedings of the 31st Annual Conference of the IEEE Industrial Electronics Society (IECON), pp. 2083-2088, 2005.

E. Yavari, H. Jou, V. Lubecke, and O. BoricLubecke, “Doppler radar sensor for occupancy monitoring,” in Proc. 2013 IEEE Radio Wireless Symp., pp. 316-318, 2013.

E. Yavari, P. Nuti, and O. Boric-Lubecke, “Occupancy detection using radar noise floor,” in Proc. ICWITS/ACES 2016 Conference, pp. 152- 154, 2016.

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Published

2021-07-25

How to Cite

[1]
Pooja Nuti, Ehsan Yavari, and Olga Boric-Lubecke, “Radar Noise Floor Method for Occupancy Detection”, ACES Journal, vol. 33, no. 02, pp. 204–207, Jul. 2021.

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Articles