Abstract
A stochastic gradient-based decorrelation algorithm is suggested for separation of an unknown linear mixture of signals. It is shown that while the decorrelation algorithm is similar in cost to the LMS algorithm, its rate of convergence is significantly faster, making it more attractive for signal separation. Analysis of the decorrelator algorithm shows that the faster speed of convergence is a consequence of the eigenevalue spread associated with the decorrelation problem, which is smaller than the spread associated with the corresponding mean square problem. Operation of the algorithm is illustrated as an adaptive multiuser detector in a multiple carrier CDMA system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 464-468 |
| Number of pages | 5 |
| Journal | IEEE Vehicular Technology Conference |
| Volume | 1 |
| State | Published - 1995 |
| Event | Proceedings of the 1995 IEEE 45th Vehicular Technology Conference. Part 2 (of 2) - Chicago, IL, USA Duration: Jul 25 1995 → Jul 28 1995 |
All Science Journal Classification (ASJC) codes
- Applied Mathematics
- Electrical and Electronic Engineering
- Computer Science Applications