| Improvement of Channel Estimation with 16QAM Modulation over Fading Channel for DS-CDMA |
| |
| 作者姓名： | 杨宇 匡镜明 |
| |
| 作者单位： | School of Information Science and Technology Beijing Institute of Technology，Beijing 100081，China，School of Information Science and Technology Beijing Institute of Technology，Beijing 100081，China |
| |
| 摘 要： | The application of low complexity and low order robust regression algorithm in channel estimation with 16QAM over fading channel for DS-CDMA is presented in this paper After initial channel estimation with classical methods, channel gains estimated are filtered by linear or conic regression algorithm within a given regression length Simulation results show that this method offers up to 0,3 dB gain in a DS-CDMA system. The length and order of regression algorithm are two key parameters, which affect the system performance significantly and the optimal values of which depend on the speed of mobile station. It is demonstrated that this improved method can track fading channel accurately and outperforms over classical methods substantially by selecting appropriate parameters of regression algorithm under a certain channel environment.
|
Improvement of Channel Estimation with 16QAM Modulation over Fading Channel for DS-CDMA |
| |
| YANG Yu,KUANG Jing-ming.Improvement of Channel Estimation with 16QAM Modulation over Fading Channel for DS-CDMA[J].Journal of Beijing Institute of Technology,2004(Z1). |
| |
| Authors: | YANG Yu KUANG Jing-ming |
| |
| Abstract: | The application of low complexity and low order robust regression algorithm in channel estimation with 16QAM over fading channel for DS-CDMA is presented in this paper After initial channel estimation with classical methods, channel gains estimated are filtered by linear or conic regression algorithm within a given regression length Simulation results show that this method offers up to 0,3 dB gain in a DS-CDMA system. The length and order of regression algorithm are two key parameters, which affect the system performance significantly and the optimal values of which depend on the speed of mobile station. It is demonstrated that this improved method can track fading channel accurately and outperforms over classical methods substantially by selecting appropriate parameters of regression algorithm under a certain channel environment. |
| |
| Keywords: | regression algorithm 16QAM channel estimation |
| 本文献已被 CNKI 等数据库收录！ |
