Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Fundamentals of wireless communication
Fundamentals of wireless communication
EM-based channel estimation algorithms for OFDM
EURASIP Journal on Applied Signal Processing
A comparative study of iterative channel estimators for mobile OFDM systems
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Multicarrier modulation for data transmission: an idea whose time has come
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SAGE Algorithm for Semi-Blind Channel Estimation and Symbol Detection for STBC MIMO OFDM Systems
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This paper presents a novel semi-blind method for channel estimation and symbol detection in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) digital communication systems over time-varying channels where the standard pilot-aided channel estimation (PACE) interpolation approaches are not directly applicable due to insufficient placement of pilot sequences over the frequency sub-channels. The presented channel estimation method utilizes the Expectation Maximization (EM) algorithm to exploit the information in the received signals and the statistical properties of the channel.