A channel-aware target tracking approach is proposed for multi-hop sensor networks based on M-bit quantized measurements. For two cases where the fusion center has the knowledge of the instantaneous fading channel gains and where only the knowledge of fading channel statistics is available, particle filtering (PF)-based channel-aware tracking algorithms are developed. Furthermore, the posterior Cramer-Rao lower bounds (PCRLBs) for the tracking filters are derived. The improved tracking accuracy and robustness of the proposed approach are demonstrated through simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Channel-Aware Tracking in Multi-Hop Wireless Sensor Networks with Quantized Measurements


    Contributors:


    Publication date :

    2013-10-01


    Size :

    1779519 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Quantized feedback particle filter for unmanned aerial vehicles tracking with quantized measurements

    Wang, Yu / Wang, Xiaogang / Cui, Naigang | SAGE Publications | 2021



    Quantized Evaluation for User Aware Availability

    Yongzhong, Z. / Yinliang, Z. | British Library Online Contents | 2006


    Accelerated Radiation Test on Quantized Neural Networks trained with Fault Aware Training

    Gambardella, Giulio / Fraser, Nicholas J. / Zahid, Ussama et al. | IEEE | 2022


    Power-Aware Metrics for Wireless Sensor Networks

    Salhieh, A. / Schwiebert, L. | British Library Online Contents | 2004