July 2012, 2012:232,
Open Access This content is freely available online to anyone, anywhere at any time.
Date: 25 Jul 2012
Kalman interpolation filter for channel estimation of LTE downlink in high-mobility environments
The estimation of fast-fading LTE downlink channels in high-speed applications of LTE advanced is investigated in this article. In order to adequately track the fast time-varying channel response, an adaptive channel estimation and interpolation algorithm is essential. In this article, the multi-path fast-fading channel is modelled as a tapped-delay, discrete, finite impulse response filter, and the time-correlation of the channel taps is modelled as an autoregressive (AR) process. Using this AR time-correlation, we develop an extended Kalman filter to jointly estimate the complex-valued channel frequency response and the AR parameters from the transmission of known pilot symbols. Furthermore, the channel estimates at the known pilot symbols are interpolated to the unknown data symbols by using the estimated time-correlation. This article integrates both channel estimation at pilot symbols and interpolation at data symbol into the proposed Kalman interpolation filter. The bit error rate performance of our new channel estimation scheme is demonstrated via simulation examples for LTE and fast-fading channels in high-speed applications.
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- Kalman interpolation filter for channel estimation of LTE downlink in high-mobility environments
- Open Access
- Available under Open Access This content is freely available online to anyone, anywhere at any time.
EURASIP Journal on Wireless Communications and Networking
- Online Date
- July 2012
- Online ISSN
- Springer International Publishing AG
- Additional Links
- LTE advanced
- Channel estimation
- Extended Kalman filter
- Industry Sectors
- Author Affiliations
- 1. Department of Electronic & Electrical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK
- 2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China
- 3. Shanghai Research Center for Wireless Communications (WiCO), Shanghai, 200050, China
- 4. Shanghai Institute of Microsystem and Information Technology (SIMIT), Shanghai, 200050, China