Title
Semi-blind identification of finite impulse response channels
Abstract
It is a standard result that a finite impulse response channel of length L can be uniquely identified by feeding in a known (and persistently exciting) sequence of 2L-1 consecutive data points. Equivalently, given only 2L-2 consecutive data points, the channel can be uniquely identified up to a multiplicative constant. This paper significantly extends the identifiability criterion to the case when the known inputs are non-consecutively located. It is argued that by introducing 2L-1 non-consecutively spaced zeros into the input stream, for almost all input sequences, the channel can be uniquely identified up to a multiplicative constant. Furthermore, the result can be extended to the case when the known inputs are non-zero, in which case the channel can almost always be identified uniquely. To arrive at these results, general properties of systems of polynomial equations are derived. These properties do not seem to have appeared in the literature before
Year
DOI
Venue
1998
10.1109/ICASSP.1998.681626
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference
Keywords
Field
DocType
identification,poles and zeros,polynomials,sequences,signal processing,telecommunication channels,transient response,channel identification,channel length,consecutive data points,finite impulse response channels,input sequences,input stream,multiplicative constant,nonconsecutively located input,nonconsecutively spaced zeros,polynomial equations,semi-blind identification,signal processing,training data
Transient response,Discrete mathematics,Mathematical optimization,Multiplicative function,Polynomial,Mathematical analysis,Identifiability,Communication channel,System of polynomial equations,Almost surely,Finite impulse response,Mathematics
Conference
Volume
ISSN
ISBN
4
1520-6149
0-7803-4428-6
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Jonathan Manton116720.60
Yinhbo Hua200.34
Yufan Zheng39112.83
Cishen Zhang477468.79