Passive Radars, based on the emerging 802.11ax Wi-Fi standard, are considered for indoor human movement detection. Since the Wi-Fi access points transmit multiple frames in bursts, the FFT-based Doppler estimation techniques fail due to the limited duration of the bursts. Therefore, super resolution techniques are examined for low Doppler frequency estimation based on a small number of frames. An algorithm is proposed which uses ESPRIT in an iterative fashion. The performance of the algorithm is numerically analysed, compared to theoretical bounds, and validated experimentally.
Yildirim, H. C., Storrer, L., Rottenberg, F., Louveaux, J., De Doncker, P., & Horlin, F. (2021). High Resolution 802.11ax-based Passive Radar for Human Movement Monitoring. EuRAD 2020 - 2020 17th European Radar Conference, 413-416. https://doi.org/10.1109/EuRAD48048.2021.00111 (Original work published 2021)