Subspace-based blind and semi-blind channel estimation for OFDM systems
By B. Muquet, M. D. Courville, Pierre Duhamel. IEEE Transactions on Signal Processing, 2002
345 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/80a18b31d757de949a19f2c4c5314a92d8470b16
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In Computer Networks and Communications
- Erik G. Larsson
- Lajos Hanzo
- Robert W. Heath
- Hien Quoc Ngo
- Xianbin Wang
- P. Fan
- Edward J. Powers
- Jingxian Wu
In Electrical and Electronic Engineering
- Lajos Hanzo
- Erik G. Larsson
- Emil Björnson
- Robert W. Heath
- Hien Quoc Ngo
- Luca Sanguinetti
- Rui Zhang
- Xianbin Wang
In Signal Processing
- P. Fan
- Erik G. Larsson
- Lajos Hanzo
- Edward J. Powers
- Robert W. Heath
- Xianbin Wang
- Jingxian Wu
- Changyong Shin
Citations in the corpus
- EVD-based channel estimation in multicell multiuser MIMO systems with very large antenna arrays (2012, methodology): “This approach requires a particular structure on the transmitted signal or system model, for example that the sig nals are coded using orthogonal space-time block codes [6] [7].”
- A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions (2016, methodology): “The blind channel estimations are realized by using the statistics of the received data [56], the cyclic prefix (CP) [61], the virtual carriers [62], and receiver diversity [57].”
- A Comprehensive Survey of Pilot Contamination in Massive MIMO—5G System (2016, neutral): “blind [51], [52] based techniques.”
- A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends (2015, methodology): “Since Alice and Bob can directly estimate hba and hab, respectively, using classic channel estimation methods [147], [148], they may exploit their estimated CSIs ĥba and ĥab for the secret key generation and agreement process.”
- Blind Channel Estimation for MIMO-OFDM Systems (2007, methodology): “In this paper, we unify and generalize the SISO-OFDM subspace methods in [53] and [54] to the case of blind channel estimation for spatial multiplexing MIMO-OFDM systems with”