BLIND CHANNEL IDENTIFIABILITY/EQUALIZABILITY OF SINGLE INPUT MULTIPLE OUTPUT NONLINEAR CHANNELS FROM SECOND ORDER STATISTICS
Download:
pdf
unknown authors
http://www.gts.tsc.uvigo.es/gpsc/publications/valcarce/identifiability00.pdf
Add To MetaCart
Abstract:
We explore the utility of second-order statistics for blind identi cation/equalization of nonlinear channels. Under standard assumptions it is shown that the channel cannot be identi ed to within a scaling factor from the output second order statistics, but that the ambiguity is at a level that permits equalization. Weshow that these results cover cases that the prior literature does not address. 1.
Citations
| 196 | The Theory of Matrices – Lancaster, Tismenetsky - 1985 |
| 117 | The Volterra and Wiener Theories of Nonlinear Systems – Schetzen - 1980 |
| 67 | A least squares approach to blind channel identification – Xu, Liu, et al. - 1994 |
| 11 | Linear multichannel blind equalizers of nonlinear FIR Volterra channels – Giannakis, Serpedin - 1997 |
| 4 | identi cation and equalization based on second-order statistics: a time-domain approach – Tong, Xu, et al. - 1994 |
| 2 | Multichannel blind equalization: from subspace to maximum likelihood methods – Tong, Perreau - 1998 |
| 1 | Blind identi cation of LTI-ZMNL-LTI nonlinear channel models – Prakriya, Hatzinakos - 1995 |
| 1 | The identi cation of certain nonlinear systems by only observing the output – Rozario, Papoulis - 1989 |
| 1 | A root method for Volterra system equalization – Redfern, Zhou - 1998 |
| 1 | An iterativemultichannel method for blind volterra system identi cation – Redfern, Zhou - 1999 |
| 1 | On blind MIMO channel identi cation using second-order statistics – Li, Liu |
