Blind channel identification based on second order cyclostationary statistics

Authors:
Y. Li;Z. Ding
Affiliations:
Dept. of Electr. Eng., Auburn Univ., AL, USA;Dept. of Electr. Eng., Auburn Univ., AL, USA
Venue:
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
Year:
1993

Citing 1
Cited 5

Identification of linear stochastic systems via second- and fourth-order cumulant matching

IEEE Transactions on Information Theory

Common factor estimation and two applications in signal processing

Signal Processing - Special issue on independent components analysis and beyond
Deterministic blind subspace MIMO equalization

EURASIP Journal on Applied Signal Processing
A generalized algorithm for blind channel identification with linear redundant precoders

EURASIP Journal on Applied Signal Processing
A quadratic programming approach to blind equalization and signal separation

IEEE Transactions on Signal Processing
Implementation of enhanced fractionally spaced algorithm for blind equalization technology in WSNs

Ad Hoc Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

For finite impulse response (FIR), channels with uncorrelated input sequences, L. Tong et al. (1991, 1992) have proposed an identification method under the special rank condition. The relationship is established between the rank condition and identifiability of FIR channels using second-order cyclostationary statistics. The method is generalized to the FIR channels with correlated input sequences. For general autoregressive moving average (ARMA) channels, a method is proposed that directly identifies the zeros and the poles of channels. Computer simulation results show the effectiveness of the proposed method.