1st International ICST Conference on Communications and Networking in China

Research Article

An Integration Optimized UWB Transmitted Reference System Based on Wavelet Denoising

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344815,
        author={Yongbo Zeng and  Zheng Zhou and Qizhu Song and Runtian  Kan},
        title={An Integration Optimized UWB Transmitted Reference System Based on Wavelet Denoising},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={UWB Transmitted reference Wavelet Denoising Integration Optimization},
        doi={10.1109/CHINACOM.2006.344815}
    }
    
  • Yongbo Zeng
    Zheng Zhou
    Qizhu Song
    Runtian Kan
    Year: 2007
    An Integration Optimized UWB Transmitted Reference System Based on Wavelet Denoising
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344815
Yongbo Zeng1,*, Zheng Zhou1,*, Qizhu Song2, Runtian Kan2
  • 1: Beijing University of Posts and Telecommunications, Beijing, China
  • 2: Chinese State Radio Monitoring Center, Beijing, China.
*Contact email: younble@tom.com, zzhou@ bupt.edu.cn

Abstract

This paper exploits the "localization" property of the wavelet transform to optimize the integration interval in transmitted reference (TR) system. The average correlation receiver is adopted in this paper to suppress the noise contained in the reference signal. The integration time optimization is based on the fact that the path energy decreases as the path delay increases and the tail of a frame time is dominated by noise, consequently, it is unnecessary for the correlation receiver to integrate over the full frame time. Hence, we apply the wavelet transform to locate the energy concentrated area and to optimize the integration time. It consists of two steps: the first one is the wavelet denoising which can intensify the signal part and reduce the noise component; the second one is to estimate the mean and covariance of multipath delay. Simulation results show that the approach performs better than the conventional TR and averaging only approach