2nd International ICST Conference on Communications and Networking in China

Research Article

Iterative Channel Estimation for Pulse-Based UWB Wireless Communications

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469470,
        author={Dan Wang and Lei Yang and Ling-Ge Jiang and Chen He},
        title={Iterative Channel Estimation for Pulse-Based UWB Wireless Communications},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={UWB  channel estimation  complexity  iteration},
        doi={10.1109/CHINACOM.2007.4469470}
    }
    
  • Dan Wang
    Lei Yang
    Ling-Ge Jiang
    Chen He
    Year: 2008
    Iterative Channel Estimation for Pulse-Based UWB Wireless Communications
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469470
Dan Wang1,*, Lei Yang2,*, Ling-Ge Jiang1, Chen He1
  • 1: Dept. of Electronic Engineering Shanghai Jiaotong University Shanghai, China
  • 2: Electronic Information Engineering College Henan University of Science and Technology Luoyang, China
*Contact email: wangdan2004@sjtu_.edu.cn, yanglei3963@tom.com

Abstract

Three iterative channel estimation schemes for pulse-based ultra-wideband (UWB) systems are proposed based on multiple iterations of least mean square (LMS) algorithm. The regular sliding window (SW) channel estimator is utilized for computing the initial values of iterative process. Compared to the regular SW method, these schemes can significantly improve estimation accuracy since the effects of the intersymbol interference and multipath interference can be reduced gradually through iterations. Moreover, unlike the successive cancellation (SC) estimation method, the proposed methods save the processing time of channel estimation due to their parallel-type processing manners. In addition, the performance of the proposed hybrid scheme, one of three schemes, can approach that of the SC method w ith iterations and gain a lower complexity. As a result, the proposed methods are more flexible and attractive since they can provide the tradeoff between the complexity and accuracy. Finally, simulations demonstrate the effectiveness of the proposed methods.