Abstract
An improved wavelet packet domain least mean square (IWPD-LMS) based adaptive multi-user detection algorithm is proposed. The algorithm employs the wavelet packet transform to re-whiten the input data, and chooses the best wavelet packet basis according to a novel convergence contribution function rather than the conventional Shannon entropy. The theoretic analyses show that the inadequacy of the eigenvalue spread of the tap-input correlation matrix is ameliorated, thus the convergence performance is improved greatly. The simulation result of convergence performance and bit error rate (BER) performance as a function of the signal power to noise power ratio (SNR) are presented finally to prove the validity of the proposed algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 484-488 |
| Number of pages | 5 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 17 |
| Issue number | 4 |
| Publication status | Published - Dec 2008 |
Keywords
- Least mean square (LMS)
- Multi-user detection
- Wavelet packet
- Wavelet packet basis