1st International ICST Conference on Communications and Networking in China

Research Article

Performance Analysis of Adaptive Threshold Acquisition Algorithm in DS-UWB with Multi-path Environment

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344808,
        author={Jun Chen and Yong-Bo  Zeng and Zheng  Zhou},
        title={Performance Analysis of Adaptive Threshold Acquisition Algorithm in DS-UWB with Multi-path Environment},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={UWB DS synchronization acquisition Adaptive-Threshold MCRBs},
        doi={10.1109/CHINACOM.2006.344808}
    }
    
  • Jun Chen
    Yong-Bo Zeng
    Zheng Zhou
    Year: 2007
    Performance Analysis of Adaptive Threshold Acquisition Algorithm in DS-UWB with Multi-path Environment
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344808
Jun Chen1,*, Yong-Bo Zeng1,*, Zheng Zhou1,*
  • 1: Beijing University of Posts and Telecommunications, Inner Box.96, 100876, Beijing, China
*Contact email: junchen.pegasus@gmail.com, younble@bj1860.net, zzhou@bupt.edu.cn

Abstract

Synchronization process is essential especially in UWB communication system owes to its extremely short transmitted pulse shape and the ultra dense multi-path interference. Acquisition performance decreased rapidly own to serious inter-symbol interference (ISI) caused by those complex channel with relatively large delay spread. An interference resistant adaptive threshold acquisition algorithm (IR-ATAA) for DS-UWB systems proposed here has the feature that the decision threshold changes automatically adapting to the signal to noise ratio (SNR) at time of comparison. The performance analysis mainly focus on the probability of correct acquisition (PACQ) and estimation error of timing delay (MSE) with IEEE defined standard channel models and in the presents of multi-access interference (MAI) which is assumed as an additive white Gaussian noise. The simulation results also indicate the superiority of IR-ATAA over the fixed threshold acquisition algorithm