The received signal strength (RSS) measurement is widely adopted in wireless positioning due to its simplicity and accessibility. This article utilizes the Boolean line model (BLM) to characterize the RSS distribution considering both line-of-sight (LOS) and non-LOS (NLOS) conditions, where the reflectors are modeled as line segments with random lengths and inclination angles. We begin by calculating the probability of establishing a specular reflection link for a single reflector with a given transmitter–receiver pair. By leveraging this probability, we compute the distribution of RSS for a single NLOS link. By convolving the RSS distributions from the LOS and multiple NLOS paths, the RSS distribution in mixed LOS and NLOS conditions is derived. Theoretical developments are validated by comparing simulations and the experimental data collected from real-world scenarios.


    Access

    Download


    Export, share and cite



    Title :

    Received Signal Strength Characterization in Mixed LOS and NLOS Environments


    Contributors:
    Wang, Chao (author) / He, Jiajun (author) / Xiong, Wenxin (author) / So, Hing Cheung (author) / Chun, Young Jin (author)


    Publication date :

    2024-08-01


    Size :

    2010154 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    A robust gnss los/nlos signal classifier

    Yozevitch, Roi / Moshe, Boaz Ben / Weissman, Ayal | British Library Online Contents | 2016


    A Robust GNSS LOS/NLOS Signal Classifier

    Roi Yozevitch | Online Contents | 2016


    Characterization of Received Signal Strength Perturbations Using Allan Variance

    Chunbo Luo / Casaseca-de-la-Higuera, Pablo / McClean, Sally et al. | IEEE | 2018


    BeamLoc - an approach for NLoS localization in UWB indoor environments

    Senger, C. / Kaiser, T. | IET Digital Library Archive | 2006