Radio Frequency Based Heart Rate Variability Monitoring
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Xiaolu Zeng, Baixiao Chen, Minglei Yang, ICASSP, New Orleans, LA, Mar. 2017.
Abstract
In a low angle target parameter estimation scenario, the backscattered signals from targets are distorted by clutter and multipath, which degrades the performance of direction-ofarrival (DOA) estimator significantly. This paper presents a novel method using time reversal (TR) technique and coherent signal-subspace method (CSM) for DOA estimation in a low angle scenario. The TR method exploits target information contained in the return echoes due to multipath and adaptively adjusts TR probing waveforms to increase the signal-to-noise ratio (SNR). Furthermore, CSM is adopted to focus the energy of the multipath signal in a predefined subspace so as to exploit the full time-bandwidth product of the target source. We analyze the performance of the proposed new DOA algorithm. Numerical simulations demonstrate its superior performance compared with the conventional DOA estimators.
*Key Words: Time Reversal, DOA Estimations, Multipath, High Accuracy