Abstract
The use of a Hopfield neural network for interference cancellation is investigated. It is suggested that the neural network be used to estimate the signal subspace that contains the interferences. The array weight vector is constructed so that it is orthogonal to this subspace. It is shown that this array provides effective interference cancellation for narrowband sources.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 503-506 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 1 |
| State | Published - 1990 |
| Externally published | Yes |
| Event | 1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4) - New Orleans, LA, USA Duration: May 1 1990 → May 3 1990 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering