Abstract
An LMS algorithm based on one dimensional slice of fourth-order statistics is proposed and its recursive form is given. This algorithm can suppress the correlated Gaussian noise effectively, and its performance is better than the conventional autocorrelation-based LMS algorithm. The recursive form reduces the computational complexity, and it can meet the need of real-time processing. Simulation results are presented to demonstrate the effectiveness of this approach. The algorithm can be used to estimate multi-path coefficients in radar, sonar and communication systems.
| Original language | English |
|---|---|
| Pages (from-to) | 442-445 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 24 |
| Issue number | 5 |
| Publication status | Published - May 2004 |
Keywords
- High-order statistics
- LMS algorithm
- Recursive form