A Spectrum-Efficient FSK Radar Solution for Stationary Human Subject Localization Based on Vital Sign Signals

Beyond the traditional use of frequency-shift keying (FSK) radar in tracking moving targets, this work further extends its capability in localizing stationary human subject based on the phase information extracted from the detected vital sign signals. Unlike the I/Q-trajectory-based range detection method that relies on trajectory analysis and therefore is prone to the effect of DC offset and trajectory distortion, the FSK-based technique used in this paper works in spectrum domain utilizing only the motion frequency of the target with a reliable signal-to-noise ratio (SNR). A 5.8-GHz industrial, scientific, and medical (ISM) band FSK radar with a frequency difference of 15 MHz is designed and implemented. Experiments demonstrate that, besides tracking walking human subject, the proposed FSK technique can successfully recover range information of a seated human subject at different locations. A preliminary investigation of the detection robustness and consistency is presented by measuring the range of a 4-mm peak-to-peak periodic motion generated by an actuator over a 90-s observation window.

[1]  Changzhi Li,et al.  A DC-coupled biomedical radar sensor with analog DC offset calibration circuit , 2018, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[2]  Changzhi Li,et al.  A Review on Recent Advances in Doppler Radar Sensors for Noncontact Healthcare Monitoring , 2013, IEEE Transactions on Microwave Theory and Techniques.

[3]  Changzhan Gu,et al.  A Two-Tone Radar Sensor for Concurrent Detection of Absolute Distance and Relative Movement for Gesture Sensing , 2017, IEEE Sensors Letters.

[4]  Jing Wang,et al.  A Human Tracking and Physiological Monitoring FSK Technology for Single Senior at Home Care , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[5]  Changzhi Li,et al.  An efficient and extended range tracking method using a hybrid FSK-FMCW system , 2018, 2018 IEEE MTT-S International Wireless Symposium (IWS).