Title
Second-order statistical approaches to channel shortening in multicarrier systems
Abstract
In multicarrier systems with a cyclic prefix, interblock interference can be limited by shortening the channel impulse response using time-domain equalizers. In this paper, we present two blind channel-shortening algorithms that exploit the second-order statistics of the channel outputs. The equalizer parameter vector is chosen from a space that forces the length constraint on the effective channel impulse response. The first algorithm is less sensitive to channel-order estimation errors, whereas the second one is simpler to implement. Furthermore, we show that the two algorithms are equivalent for noiseless channels. Simulation examples are provided to demonstrate their superior performance over some existing algorithms.
Year
DOI
Venue
2004
10.1109/TSP.2004.836537
IEEE Transactions on Signal Processing
Keywords
Field
DocType
channel estimation,equalisers,errors,signal processing,statistical analysis,time-domain analysis,blind channel-shortening algorithm,channel impulse response,channel-order estimation error,cyclic prefix,equalizer parameter vector,interblock interference,multicarrier systems,second-order statistical approaches,time-domain equalizers,Blind signal processing,DMT,OFDM,cyclic prefix,time-domain equalization
Kernel (linear algebra),Signal processing,Cyclic prefix,Equalization (audio),Control theory,Communication channel,Interference (wave propagation),Estimation theory,Mathematics,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
52
11
1053-587X
Citations 
PageRank 
References 
30
1.55
20
Authors
2
Name
Order
Citations
PageRank
Teruyuki Miyajima15913.46
Zhi Ding21574109.20