Title :
Multichannel adaptive blind deconvolution using the complex cepstrum of higher order cross-spectra
Author :
Brooks, Dana H. ; Nikias, Chrysostomos L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fDate :
9/1/1993 12:00:00 AM
Abstract :
An adaptive cross-spectral blind deconvolution method, cross-TEA, for the case in which data are available from several sensors, is described. Unlike ordinary cross-spectra, higher order cross-spectra are separable, and this fact is used to identify and deconvolve each system. Cross-TEA was tested on four-channel QAM (quadrature amplitude modulation) signals, and the results are compared to those for TEA, an autospectral method
Keywords :
adaptive filters; amplitude modulation; intersymbol interference; spectral analysis; statistical analysis; QAM signals; complex cepstrum; cross-TEA; cross-cumulants; higher order cross-spectra; multichannel adaptive blind deconvolution; quadrature amplitude modulation; tricepstrum equalisation algorithm; Cepstrum; Deconvolution; Digital communication; Filters; Higher order statistics; Phase estimation; Quadrature amplitude modulation; Sensor phenomena and characterization; Signal processing algorithms; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on
