Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

A Weighted UWB Transmitted-Reference Receiver for Indoor Positioning Using MMSE Estimation

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_22,
        author={Gang Yang and Hui Jiang and Zhiqiang Bao and Jie Shan},
        title={A Weighted UWB Transmitted-Reference Receiver for Indoor Positioning Using MMSE Estimation},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={ultra-wideband (UWB) communications weighted transmittedreference (TR) receiver minimize-mean-square-error (MMSE) estimation indoor positioning},
        doi={10.1007/978-3-642-30493-4_22}
    }
    
  • Gang Yang
    Hui Jiang
    Zhiqiang Bao
    Jie Shan
    Year: 2012
    A Weighted UWB Transmitted-Reference Receiver for Indoor Positioning Using MMSE Estimation
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_22
Gang Yang1,*, Hui Jiang1,*, Zhiqiang Bao1,*, Jie Shan1,*
  • 1: Xi’an University of Posts & Telecommunications
*Contact email: yanggang@xupt.edu.cn, jianghui@xupt.edu.cn, baozhiqiang@xupt.edu.cn, shanjie@xupt.edu.cn

Abstract

Many emerging wireless intelligent network applications have the requirement of ranging and localization services besides data transfer. The impulse ultra-wideband (UWB) technology has accurate positioning capability as well as low to medium rate communication, so it is especially suitable in above applications. Due to implementation complexity concerns, UWB transmitted-reference (TR) receiver has become a good choice for this case recently. In this paper, considering the multipath components segment distribution characteristic of UWB received signals, a novel weighted UWB averaged TR receiver based on minimize-mean-square-error (MMSE) estimation for indoor positioning is presented by using segmentation-weighting-combination idea. Those segments which hold the intensive multipath signals are given the bigger weight coefficients, so that more useful multipath energy are captured meanwhile the noise product term is highly suppressed, thus the bit-error-rate (BER) performance of the receiver is efficiently improved. The suitable weight coefficients are obtained by using MMSE estimation via training data sequence. This receiver was analyzed and simulated in IEEE CM3 indoor multipath channel. The results show that it has superior detect performance compared with a conventional averaged TR receiver. The receiver can be used for those wireless intelligent network applications with indoor positioning capability.