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Millimeter-Wave Pulse Radar Scattering Measurements on the Human Hand

Heunisch, Sebastian LU ; Fhager, Lars Ohlsson LU and Wernersson, Lars Erik LU (2019) In IEEE Antennas and Wireless Propagation Letters 18(7). p.1377-1380
Abstract

We investigate the backscattering of low-power millimeter-wave pulses (wavelets) on the human hand in order to determine the detection limit of scattering features. Using an in-house wavelet radar setup with a nominal spatial resolution of 2.29 cm, we measure a hand in three different postures: a flat hand, a fist, and a hand with raised index finger. For the latter, we are able to resolve backscattering from at least two different scattering centers, attributed to the heel of the hand and the finger. The effective radar cross section in the measurements was in the range from -29.5 to -35.1 dBsm. We demonstrate that detecting scattering features from the hand with an equivalent isotropically radiated power spectral density of -68.5... (More)

We investigate the backscattering of low-power millimeter-wave pulses (wavelets) on the human hand in order to determine the detection limit of scattering features. Using an in-house wavelet radar setup with a nominal spatial resolution of 2.29 cm, we measure a hand in three different postures: a flat hand, a fist, and a hand with raised index finger. For the latter, we are able to resolve backscattering from at least two different scattering centers, attributed to the heel of the hand and the finger. The effective radar cross section in the measurements was in the range from -29.5 to -35.1 dBsm. We demonstrate that detecting scattering features from the hand with an equivalent isotropically radiated power spectral density of -68.5 dBm/MHz is possible. This shows that, compared to most conventional radar systems operating close to the regulatory emission limits (13 dBm/MHz), the energy of the transmitted waveform can be significantly reduced. The result shows that low-power radar systems for gesture recognition are feasible using pulsed systems with ultrashort pulses and low duty cycles. This is key for integration in battery-powered devices.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Gesture recognition, millimeter waves, millimeter-wave radar, pulsed radar, radar applications, radar cross-section (RCS) measurement, time-domain analysis
in
IEEE Antennas and Wireless Propagation Letters
volume
18
issue
7
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85068654570
ISSN
1536-1225
DOI
10.1109/LAWP.2019.2917081
language
English
LU publication?
yes
id
fdf92d88-7bfa-436e-89a2-4b9cbc8e104a
date added to LUP
2019-07-23 12:19:07
date last changed
2019-08-14 04:42:19
@article{fdf92d88-7bfa-436e-89a2-4b9cbc8e104a,
  abstract     = {<p>We investigate the backscattering of low-power millimeter-wave pulses (wavelets) on the human hand in order to determine the detection limit of scattering features. Using an in-house wavelet radar setup with a nominal spatial resolution of 2.29 cm, we measure a hand in three different postures: a flat hand, a fist, and a hand with raised index finger. For the latter, we are able to resolve backscattering from at least two different scattering centers, attributed to the heel of the hand and the finger. The effective radar cross section in the measurements was in the range from -29.5 to -35.1 dBsm. We demonstrate that detecting scattering features from the hand with an equivalent isotropically radiated power spectral density of -68.5 dBm/MHz is possible. This shows that, compared to most conventional radar systems operating close to the regulatory emission limits (13 dBm/MHz), the energy of the transmitted waveform can be significantly reduced. The result shows that low-power radar systems for gesture recognition are feasible using pulsed systems with ultrashort pulses and low duty cycles. This is key for integration in battery-powered devices.</p>},
  author       = {Heunisch, Sebastian and Fhager, Lars Ohlsson and Wernersson, Lars Erik},
  issn         = {1536-1225},
  keyword      = {Gesture recognition,millimeter waves,millimeter-wave radar,pulsed radar,radar applications,radar cross-section (RCS) measurement,time-domain analysis},
  language     = {eng},
  number       = {7},
  pages        = {1377--1380},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Antennas and Wireless Propagation Letters},
  title        = {Millimeter-Wave Pulse Radar Scattering Measurements on the Human Hand},
  url          = {http://dx.doi.org/10.1109/LAWP.2019.2917081},
  volume       = {18},
  year         = {2019},
}