2 citations · 5 across the 8 of their papers we have counts for
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eess.SP2023
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar
Sian Jin, Pu Perry Wang, Petros Boufounos +3
This paper considers mutual interference mitigation among automotive radars using frequency-modulated continuous wave (FMCW) signal and multiple-input multiple-output (MIMO) virtua…
eess.SP2022
Multi-Modal Recurrent Fusion for Indoor Localization
Jianyuan Yu, Pu, Wang +2
This paper considers indoor localization using multi-modal wireless signals including Wi-Fi, inertial measurement unit (IMU), and ultra-wideband (UWB). By formulating the localizat…
eess.SP2019★ 2 cited
Model-Driven Deep Learning Method for Jammer Suppression in Massive Connectivity Systems
Milutin Pajovic, Toshiaki Koike-Akino, Philip V. Orlik
We present a method for separating collided signals from multiple users in the presence of strong and wideband interference/jamming signal. More specifically, we consider a massive…