| Paper ID | SPCOM-4.4 |
| Paper Title |
KALMAN FILTER BASED MIMO CSI PHASE RECOVERY FOR COTS WIFI DEVICES |
| Authors |
Chu Li, Ruhr University Bochum, Germany; Jeremy Brauer, PHYSEC GmbH, Germany; Aydin Sezgin, Ruhr University Bochum, Germany; Christian Zenger, PHYSEC GmbH, Germany |
| Session | SPCOM-4: Channel Estimation for MIMO and Multiuser Systems |
| Location | Gather.Town |
| Session Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation Time: | Thursday, 10 June, 15:30 - 16:15 |
| Presentation |
Poster
|
| Topic |
Signal Processing for Communications and Networking: [SPC-CHAN] Channel modelling and estimation |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Recently channel state information (CSI) measurements from the commercial multi-input multi-output (MIMO) WiFi systems have been ubiquitously used for different wireless sensing applications. However, the phase of the CSI realizations is usually distorted severely by phase errors due to the hardware impairments, which significantly reduce the sensing performance. In this paper, we directly utilize the modeling of the phase distortions caused by the hardware impairments and propose an adaptive CSI estimation approach based on Kalman filter (KF) with maximum-a-posteriori (MAP) estimation that considers the CSI from the previous time. The performance of the proposed algorithm is compared against the Cramer–Rao lower bound (CRLB). Simulation and experimental results demonstrate that our approach can track the channel variations while eliminating the phase errors accurately. |
