DocumentCode :
782944
Title :
Data-efficient blind OFDM channel estimation using receiver diversity
Author :
Wang, Hao ; Lin, Ying ; Chen, Biao
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
Volume :
51
Issue :
10
fYear :
2003
Firstpage :
2613
Lastpage :
2623
Abstract :
We investigate non data-aided channel estimation for cyclically prefixed orthogonal frequency division multiplexing (OFDM) systems. By exploiting channel diversity using only two receive antennas, a blind deterministic algorithm is proposed. Identifiability conditions are derived that guarantee the perfect channel retrieval in the absence of noise. In the presence of noise, the proposed method has the desired property of being data efficient-only a single OFDM block is needed to achieve good estimation performance for a wide range of SNR values. The algorithm is also robust to input symbols as it does not have any restriction on the input symbols with regard to their constellation or their statistical properties. In addition, this diversity-based algorithm is computationally efficient, and its performance compares favorably to most existing blind algorithms.
Keywords :
OFDM modulation; channel estimation; diversity reception; receiving antennas; SNR; blind algorithm; blind deterministic algorithm; channel diversity; channel retrieval; computationally efficient algorithm; cyclically prefixed OFDM systems; data-efficient blind OFDM channel estimation; diversity-based algorithm; estimation performance; identifiability conditions; nondata-aided channel estimation; orthogonal frequency division multiplexing; receive antennas; receiver diversity; statistical properties; Bandwidth; Blind equalizers; Channel estimation; Fading; Frequency estimation; Intersymbol interference; OFDM modulation; Receiving antennas; Signal to noise ratio; Streaming media;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2003.816879
Filename :
1232328
Link To Document :
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