49 research outputs found
Full-Duplex OFDM Radar With LTE and 5G NR Waveforms: Challenges, Solutions, and Measurements
Get PDFThis paper studies the processing principles, implementation challenges, and
performance of OFDM-based radars, with particular focus on the
fourth-generation Long-Term Evolution (LTE) and fifth-generation (5G) New Radio
(NR) mobile networks' base stations and their utilization for radar/sensing
purposes. First, we address the problem stemming from the unused subcarriers
within the LTE and NR transmit signal passbands, and their impact on
frequency-domain radar processing. Particularly, we formulate and adopt a
computationally efficient interpolation approach to mitigate the effects of
such empty subcarriers in the radar processing. We evaluate the target
detection and the corresponding range and velocity estimation performance
through computer simulations, and show that high-quality target detection as
well as high-precision range and velocity estimation can be achieved.
Especially 5G NR waveforms, through their impressive channel bandwidths and
configurable subcarrier spacing, are shown to provide very good radar/sensing
performance. Then, a fundamental implementation challenge of
transmitter-receiver (TX-RX) isolation in OFDM radars is addressed, with
specific emphasis on shared-antenna cases, where the TX-RX isolation challenges
are the largest. It is confirmed that from the OFDM radar processing
perspective, limited TX-RX isolation is primarily a concern in detection of
static targets while moving targets are inherently more robust to transmitter
self-interference. Properly tailored analog/RF and digital self-interference
cancellation solutions for OFDM radars are also described and implemented, and
shown through RF measurements to be key technical ingredients for practical
deployments, particularly from static and slowly moving targets' point of view.Comment: Paper accepted by IEEE Transactions on Microwave Theory and
Technique
Noncontact Vital Signs Detection
Get PDFHuman health condition can be accessed by measurement of vital signs, i.e., respiratory rate (RR), heart rate (HR), blood oxygen level, temperature and blood pressure. Due to drawbacks of contact sensors in measurement, non-contact sensors such as imaging photoplethysmogram (IPPG) and Doppler radar system have been proposed for cardiorespiratory rates detection by researchers.The UWB pulse Doppler radars provide high resolution range-time-frequency information. It is bestowed with advantages of low transmitted power, through-wall capabilities, and high resolution in localization. However, the poor signal to noise ratio (SNR) makes it challenging for UWB radar systems to accurately detect the heartbeat of a subject. To solve the problem, phased-methods have been proposed to extract the phase variations in the reflected pulses modulated by human tiny thorax motions. Advance signal processing method, i.e., state space method, can not only be used to enhance SNR of human vital signs detection, but also enable the micro-Doppler trajectories extraction of walking subject from UWB radar data.Stepped Frequency Continuous Wave (SFCW) radar is an alternative technique useful to remotely monitor human subject activities. Compared with UWB pulse radar, it relieves the stress on requirement of high sampling rate analog-to-digital converter (ADC) and possesses higher signal-to-noise-ratio (SNR) in vital signs detection. However, conventional SFCW radar suffers from long data acquisition time to step over many frequencies. To solve this problem, multi-channel SFCW radar has been proposed to step through different frequency bandwidths simultaneously. Compressed sensing (CS) can further reduce the data acquisition time by randomly stepping through 20% of the original frequency steps.In this work, SFCW system is implemented with low cost, off-the-shelf surface mount components to make the radar sensors portable. Experimental results collected from both pulse and SFCW radar systems have been validated with commercial contact sensors and satisfactory results are shown
