Title
Blind identification and order estimation of FIR communications channels using cyclic statistics
Abstract
We address the problem of the blind joint identification and order estimation of a non-minimum phase FIR communication channel by exploiting the cyclo-stationarity of the received signal sampled at a rate greater than the symbol rate. We show that the identification can be formulated as a “subspace fitting” problem; this allows for using the subspace distance as a test statistic to detect the correct channel length (among different hypotheses). Moreover, mimicking estimation procedures proposed in the framework of DOA estimation, an asymptotically efficient procedure is proposed which obtains the channel estimate in two steps: the channel estimate obtained in the first step determines optimal weights which are then employed in the second step to refine the channel estimate. The accuracy of the identification is comparable with other methods described in the literature (e.g. the subspace method) while the test for order detection performs quite well also in the presence of channel disparity outperforming commonly used tests based on the eigenvalues of the covariance matrix
Year
DOI
Venue
1998
10.1109/ICASSP.1998.681631
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference
Keywords
Field
DocType
identification,matrix algebra,parameter estimation,signal sampling,statistical analysis,telecommunication channels,transient response,DOA estimation,blind identification,channel disparity,channel estimate,channel length,covariance matrix,cyclic statistics,cyclo-stationary received signal,eigenvalues,nonminimum phase FIR communication channel,optimal weights,order detection,order estimation,sampling rate,subspace distance,subspace fitting problem,symbol rate,test statistic
Pattern recognition,Subspace topology,Test statistic,Computer science,Symbol rate,Communication channel,Artificial intelligence,Covariance matrix,Estimation theory,Finite impulse response,Statistics,Eigenvalues and eigenvectors
Conference
Volume
ISSN
ISBN
4
1520-6149
0-7803-4428-6
Citations 
PageRank 
References 
2
0.40
4
Authors
3
Name
Order
Citations
PageRank
Gianpiero Panci1284.21
Gaetano Scarano220931.32
G. Jacovitti327138.08