Title
Near LMMSE channel estimation performance with artificial channel at receiver for OFDM systems
Abstract
This paper proposes a LMMSE-based channel estimator which, unlike the classical LMMSE estimator, does not require the covariance matrix of the channel nor its estimation. Actually, we add at the receiver side a fully adjustable filter, which acts like an artificial channel and hides the physical channel. We then perform an LMMSE estimation of the sum of the physical and artificial channel using the filter covariance matrix and the channel estimation is obtained by subtracting the filter. Theoretical developments, shown in this paper, prove that the performance of the proposed solution can be driven by the parameters of this additional filter and can reach the one of the theoretical LMMSE estimator closely. Simulations, proposed in a DRM context, also display the validity of this technique for both preamble-based and scattered pilot distributions. It is shown that the proposed solution is only about 1 dB from the LMMSE technique in term of Minimum Mean Square Error (MMSE) and Bit Error Rate (BER).
Year
DOI
Venue
2012
10.1109/SPAWC.2012.6292968
Signal Processing Advances in Wireless Communications
Keywords
Field
DocType
OFDM modulation,channel estimation,covariance matrices,error statistics,filtering theory,least mean squares methods,receivers,BER,DRM,LMMSE-based channel estimator,OFDM system,artificial channel,bit error rate,filter covariance matrix,filter subtraction,fully adjustable filter,minimum mean square error method,near LMMSE channel estimation performance,orthogonal frequency division multiplexing,physical channel,preamble-based pilot distributions,receiver,scattered pilot distributions
Preamble,Computer science,Communication channel,Minimum mean square error,Electronic engineering,Digital Radio Mondiale,Covariance matrix,Orthogonal frequency-division multiplexing,Bit error rate,Estimator
Conference
ISSN
ISBN
Citations 
1948-3244
978-1-4673-0970-7
3
PageRank 
References 
Authors
0.39
6
5
Name
Order
Citations
PageRank
Vincent Savaux1468.64
Alexandre Skrzypczak21037.78
Yves Louët311223.96
Moïse Djoko-Kouam4171.80
Djoko-Kouam, M.561.19