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A Low-Complexity LMMSE Channel Estimation Method for OFDM-Based Cooperative Diversity Systems with Multiple Amplify-and-Forward Relays
- Source :
- EURASIP Journal on Wireless Communications and Networking, Vol 2008 (2008), EURASIP Journal on Wireless Communications and Networking, Vol 2008, Iss 1, p 149803 (2008)
- Publication Year :
- 2008
- Publisher :
- Springer Science and Business Media LLC, 2008.
-
Abstract
- Orthogonal frequency division multiplexing- (OFDM-) based amplify-and-forward (AF) cooperative communication is an effective way for single-antenna systems to exploit the spatial diversity gains in frequency-selective fading channels, but the receiver usually requires the knowledge of the channel state information to recover the transmitted signals. In this paper, a training-sequences-aided linear minimum mean square error (LMMSE) channel estimation method is proposed for OFDM-based cooperative diversity systems with multiple AF relays over frequency-selective fading channels. The mean square error (MSE) bound on the proposed method is derived and the optimal training scheme with respect to this bound is also given. By exploiting the optimal training scheme, an optimal low-rank LMMSE channel estimator is introduced to reduce the computational complexity of the proposed method via singular value decomposition. Furthermore, the Chu sequence is employed as the training sequence to implement the optimal training scheme with easy realization at the source terminal and reduced computational complexity at the relay terminals. The performance of the proposed low-complexity channel estimation method and the superiority of the derived optimal training scheme are verified through simulation results.
- Subjects :
- Minimum mean square error
Computer Networks and Communications
Computer science
Orthogonal frequency-division multiplexing
lcsh:Electronics
Real-time computing
lcsh:TK7800-8360
Data_CODINGANDINFORMATIONTHEORY
Antenna diversity
lcsh:Telecommunication
Computer Science Applications
law.invention
Cooperative diversity
Channel state information
Relay
law
lcsh:TK5101-6720
Signal Processing
Fading
Algorithm
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 16871499
- Volume :
- 2008
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Wireless Communications and Networking
- Accession number :
- edsair.doi.dedup.....d9320e647d12da62ce339f7c3db3c47f