A State-space Approach for MIMO Channel Tracking in SC-FDE Transmissions

• Published in: IEEE Vehicular Technology Conference pp. 1 - 5
• Main Authors: Pedrosa, P., Castanheira, D., Silva, A., Dinis, R., Gameiro, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2020
• Subjects: Channel estimation; Doppler effect; Frequency-domain analysis; Kalman filters; MIMO communication; Receiving antennas; Training
• DOI: 10.1109/VTC2020-Spring48590.2020.9128919

In this paper we consider a multi-input multi-output (MIMO) channel subject to time variations. These channel variations are due to the presence of a Doppler term which imposes a phase rotation on the original channel impulse response (CIR). On one hand, modern equalization schemes require the knowledge of the CIR or, equivalently, the channel frequency response (CFR). On the other hand, channel estimation procedures consume significant resources, particularly when transmitting training sequences. Therefore, we propose the use of a statespace approach, namely the extended Kalman filter (EKF), to interpolate the channel estimates obtained during the training stage onto the data transmission stage. Our approach is validated considering single-carrier frequency-domain equalization (SCFDE) transmissions.