Title :
A non-parametric cepstral method for blind channel identification from cyclostationary statistics
Author :
Li, Y. ; Ding, Z.
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Abstract :
The authors present a new blind channel identification method based on second order cyclostationary statistics. They first derive the magnitude of the channel transfer function from the power spectral density or the cepstrum of cyclic spectra. They then reconstruct the channel phase based on the cyclic spectra alone. They analyze the phase estimation error for arbitrary channels. Computer simulation illustrates the effectiveness of both methods in identifying channel impulse response
Keywords :
adaptive equalisers; autoregressive moving average processes; cepstral analysis; error analysis; identification; military communication; nonparametric statistics; phase estimation; quadrature amplitude modulation; telecommunication channels; transfer functions; transient response; blind channel identification; channel impulse response; channel transfer function; nonparametric cepstral analysis; phase estimation error; power spectral density; second order cyclostationary statistics; Blind equalizers; Cepstral analysis; Cepstrum; Higher order statistics; Parametric statistics; Phase estimation; Quadrature amplitude modulation; System identification; Transfer functions; Transmitters;
Conference_Titel :
Military Communications Conference, 1993. MILCOM '93. Conference record. Communications on the Move., IEEE
Print_ISBN :
0-7803-0953-7
DOI :
10.1109/MILCOM.1993.408588
