Abstract
In this paper the problem of single input multiple output (SIMO) and multiple input multiple output (MIMO) blind equalization in a frequency selective environment is addressed using blind source separation techniques. A robust whitening stage is included to reduce the effects of noise enhancement that traditional prewhitening methods suffer, and the use of matrix momentum with the natural gradient algorithm is utilised to improve the computation efficiency of the standard natural gradient algorithm. The performance of the algorithm is demonstrated for an ill conditioned channel and compared with a current natural gradient based blind equalization using source separation method.
| Original language | English |
|---|---|
| Pages | 439-448 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - Sep 2003 |
| Event | 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03 - Toulouse, France Duration: 17 Sep 2003 → 19 Sep 2003 |
Conference
| Conference | 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03 |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 17/09/03 → 19/09/03 |
Fingerprint
Keywords
- blind equalizers
- source separation
- sensor arrays
- noise robustness
- MIMO
- frequency
- filtering
- equations
- delay
- blind source separation
- blind equalization
- matrix momentum
- natural gradient adaptation
Cite this
Morison, G. H., & Durrani, T. S. (2003). Blind equalization using matrix momentum and natural gradient adaptation. 439-448 . Paper presented at 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03, Toulouse, France. https://doi.org/10.1109/NNSP.2003.1318043