DocumentCode
1586615
Title
Channel identification using second order cyclic statistics
Author
Ding, Zhi ; Li, Ye
Author_Institution
Dept. of Electr. Eng., Auburn Univ., AL, USA
fYear
1992
Firstpage
334
Abstract
The identification of linear rational channels with higher than minimum bandwidth based on the use of second order cyclic statistics is addressed. It is shown that channel identification is achievable for a class of linear channels without the need for a pilot tone or training periods. Moreover, channel identification based on cyclic statistics does not preclude Gaussian or near-Gaussian inputs
Keywords
amplitude modulation; identification; statistical analysis; telecommunication channels; PAM; QAM; blind equalisation; channel identification; linear rational channels; second order cyclic statistics; Autocorrelation; Bandwidth; Blind equalizers; Data communication; Finite impulse response filter; Higher order statistics; Quadrature amplitude modulation; Sampling methods; Signal processing; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-3160-0
Type
conf
DOI
10.1109/ACSSC.1992.269179
Filename
269179
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