Title :
Channel identification using second order cyclic statistics
Author :
Ding, Zhi ; Li, Ye
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269179
