Channel Estimation for OFDM Systems with Transparent Multi-Hop Relays

Woo, Kyung-Soo; Yoo, Hyun-Il; Kim, Yeong-Jun; Lee, Kyu In; Park, Chang-Hwan; Lee, Heesoo; Chung, Hyun Kyu; Cho, Yong Soo

doi:10.1093/ietcom/e90-b.6.1555

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the unitary transformation matrix M i is necessary for each relay terminal in the training section. This explains those channel estimators in [10,11] designed for broadband AF cooperative communication cannot be extended straightforwardly to the multiple relays scenario in the two-hop protocol. Each concatenation channel h SRi ⊗ h RiD , where i = 1, .…”

Section: Lmmse Channel Estimation Methodsmentioning

confidence: 99%

“…Based on the assumption of flat-fading channels, [8,9] propose trainingsequences-aided least square (LS) and linear minimum mean square error (LMMSE) channel estimators for single-relayassisted cooperative diversity systems in cellular networks. In [10,11], minimum variance unbiased (MVU) and LS channel estimators are introduced respectively for orthogonal frequency division multiplexing (OFDM-) based singlerelay-assisted cooperative diversity systems over frequencyselective fading channels. The channel estimators developed in these literatures only consider the single-relay-assisted cooperative communication scenario.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Low-Complexity LMMSE Channel Estimation Method for OFDM-Based Cooperative Diversity Systems with Multiple Amplify-and-Forward Relays

Yan

Ding

Qiu

et al. 2008

J Wireless Com Network

View full text Add to dashboard Cite

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 OFDMbased 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.

show abstract

Section: Lmmse Channel Estimation Methodsmentioning

confidence: 99%