Abstract
In this paper, the adaptive error constrained least mean square (AECLMS) algorithm is proposed through the extension and generalization of the noise constrained LMS (NCLMS) algorithm and its performance analysis is presented. By using a constrained optimization technique, the assumption that the noise variance is known is eliminated. Therefore, the proposed constrained optimization method can be easily applied to blind equalization methods. The proposed constrained method is also applied to constant modulus criterion. The proposed method can accelerates the convergence speed of the conventional steepest descent-type training procedure by several times.
| Original language | English |
|---|---|
| Pages | 3331-3335 |
| Number of pages | 5 |
| Publication status | Published - 2001 |
| Event | IEEE Global Telecommunications Conference GLOBECOM'01 - San Antonio, TX, United States Duration: 2001 Nov 25 → 2001 Nov 29 |
Other
| Other | IEEE Global Telecommunications Conference GLOBECOM'01 |
|---|---|
| Country/Territory | United States |
| City | San Antonio, TX |
| Period | 01/11/25 → 01/11/29 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Global and Planetary Change