Michael Youssefmir

Some results on blind deconvolution applied to digital communication signals

Blind deconvolution techniques applied to spatially and/or temporally oversampled signals have attracted much interest in the research community. This contribution contains an analysis of experimental data collected from an antenna array in a suburban environment. The noise subspace (NS) technique of Moulines et al. (1995) and the linear prediction method of Abed-Meraim et al. (1995) and Gorokhov et al. (1996) are examined. The real data examples presented demonstrate a case where joint spatial and temporal deconvolution has clear benefits as compared to decoupled processing.