We address the problem of synthesizing a blind channel identification and equalization method for digital communications systems, aimed at counteracting also the presence of co-channel or adjacent-channel interference. Owing to the presence of the interfering signal, the minimum mean-square error equalizer turns out to be linear periodically time-varying (LPTV), which is implemented by restoring to its Fourier series representation (FSR). Moreover, by exploiting the cyclic conjugate second-order statistics of the channel output, we propose a new weighted subspace-based channel identification method. Computer simulation results confirm the effectiveness of the proposed technique.
FSR-LPTV filtering for blind equalization and interference rejection / Gelli, Giacinto; Verde, Francesco. - (2001), pp. 616-621. (Intervento presentato al convegno 2nd International Symposium on Image and Signal Processing and Analysis (ISPA'2001) tenutosi a Pula (Croatia) nel Giugno 2001) [10.1109/ISPA.2001.938701].
FSR-LPTV filtering for blind equalization and interference rejection
GELLI, GIACINTO;VERDE, FRANCESCO
2001
Abstract
We address the problem of synthesizing a blind channel identification and equalization method for digital communications systems, aimed at counteracting also the presence of co-channel or adjacent-channel interference. Owing to the presence of the interfering signal, the minimum mean-square error equalizer turns out to be linear periodically time-varying (LPTV), which is implemented by restoring to its Fourier series representation (FSR). Moreover, by exploiting the cyclic conjugate second-order statistics of the channel output, we propose a new weighted subspace-based channel identification method. Computer simulation results confirm the effectiveness of the proposed technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
