2021
DOI: 10.21203/rs.3.rs-189732/v1
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Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment

Abstract: This paper proposes a scattering area model based on the spatial layout and a joint clustering algorithm for processing multipath parameters extracted from the model. First of all, we construct a scatter area model based on the spatial layout of obstacles near the base station and then collect the multipath signals needed for positioning and extract parameters. Second, we use the joint clustering algorithm improved by k-means clustering and mean shift clustering algorithm to process the parameters and extract … Show more

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Cited by 2 publications
(2 citation statements)
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“…The present problem is aimed at determining the location of source signal, e.g., a mobile station (MS), in a NLOS environment by using a single base station (BS) based on scattering area model. The Gaussian-based scattering area model is introduced to describe spatial geometric distribution of scatterers and MS, which can be used in achieving high precision under NLOS propagation conditions [15], compared with the conventional ring of scattering (ROS) model and the disk of scattering (DOS) model [16]. The MS-BS geometry is given in Figure 1.…”
Section: Scattering Region Modelmentioning
confidence: 99%
“…The present problem is aimed at determining the location of source signal, e.g., a mobile station (MS), in a NLOS environment by using a single base station (BS) based on scattering area model. The Gaussian-based scattering area model is introduced to describe spatial geometric distribution of scatterers and MS, which can be used in achieving high precision under NLOS propagation conditions [15], compared with the conventional ring of scattering (ROS) model and the disk of scattering (DOS) model [16]. The MS-BS geometry is given in Figure 1.…”
Section: Scattering Region Modelmentioning
confidence: 99%
“…Emitter location technology is usually called passive location technology [1–3]. Generally, passive positioning system can be divided into single‐station positioning system [4] and multi‐station positioning system [5] according to the number of observers. In this work, we deal with the multi‐station location method, because it can obtain more measurement information to improve the localisation accuracy.…”
Section: Introductionmentioning
confidence: 99%