학술논문
Enhanced Channel Estimation for MIMO OFDM Systems
Document Type
Conference
Source
2022 13th International Conference on Information and Communication Technology Convergence (ICTC) Information and Communication Technology Convergence (ICTC), 2022 13th International Conference on. :691-694 Oct, 2022
Subject
Language
ISSN
2162-1241
Abstract
In this paper, the enhanced approximate linear minimum mean square error channel estimation (EALMMSE) method is proposed. It outperforms the conventional approximate linear minimum mean square error channel estimation (ALMMSE) method, known for its poor performance for the low signal-to-noise ratio (SNR) regime. The proposed EALMMSE method uses the channel autocorrelation matrix in the frequency domain, which estimates channel coefficients more accurately by the Pilot-Only Autocorrelation Matrix. The EALMMSE achieves improved performance for a broad range of SNR, offsetting the shortcoming of the conventional ALMMSE method so that it can be applied to various practical network environments. In addition, the EALMMSE method is well suited for a multiple-input-multiple-output (MIMO) OFDM system. It is demonstrated by simulation that EALMMSE outperforms ALMMSE under the standard channel model developed by the Third-Generation Partnership Project (3GPP).