Indoor Human Localization Method of Dual Frequency Continuous Wave Radar with Velocity Deviation Compensation

LI Fangmin; XIA Yuqing; MA Xiaolin; ZHAO Bihai

doi:10.11999/JEIT160861

Volume 39 Issue 6

Jun. 2017

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LI Fangmin, XIA Yuqing, MA Xiaolin, ZHAO Bihai. Indoor Human Localization Method of Dual Frequency Continuous Wave Radar with Velocity Deviation Compensation[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1432-1438. doi: 10.11999/JEIT160861

Citation:

LI Fangmin, XIA Yuqing, MA Xiaolin, ZHAO Bihai. Indoor Human Localization Method of Dual Frequency Continuous Wave Radar with Velocity Deviation Compensation[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1432-1438. doi: 10.11999/JEIT160861

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Indoor Human Localization Method of Dual Frequency Continuous Wave Radar with Velocity Deviation Compensation

doi: 10.11999/JEIT160861

1.
2.
(School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China)

Funds:

The National Natural Science Foundation of China (61373042, 61502361)

Received Date: 2016-08-22
Rev Recd Date: 2017-01-24
Publish Date: 2017-06-19

Abstract

Abstract

The radar technology used in indoor localization prefers wide bandwidth frequency modulated continuous wave for high accuracy, yet this way needs specific device and suffers from clutters. In order to reduce the bandwidth overhead, the indoor human localization is implemented based on dual frequency continuous wave phase ratio. However, the receive signal spectrum spreads due to the complex indoor environment and the changing moving speed. The spectrum spread will leads to SNR reduction, energy divergence and wrong peak value, which decrease velocity measuring and localization accuracy. To improve the location accuracy, the frequency domain signal is calibrated with the proposed partial velocity deviation compensation algorithm in the dual frequency phase ratio localization. The experiment results show that the root mean square error of the distance measuring is as high as 9 ~ 14 cm in low bandwidth, which is parallel to the state of art. Moreover, the indoor localization and tracking can work in real time by using the proposed low complexity algorithm.
- Dual frequency CW radar,
- Velocity deviation compensation,
- Localization and tracking

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References(20)

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