Study on Path Identification at 40 GHz Band in NLOS Urban Street Cell Environment

Kitao, Koshiro; Imai, T.; Inomata, Minoru; Okumura, Yukihiko; Nakamura, Takehiro; Yanagisawa, Kiyoshi; Eichler, Taro; Keusgen, Wilhelm

doi:10.1109/wcnc.2019.8885651

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…The clustering algorithm is a type of unsupervised learning algorithms, which can be used to classify data without labels. We let (θ j .τ j ) be the measurement parameter of the base station and the sample used for clustering be S = {s 1 , s 2 , • • • , s n }, where s j is the sample parameter, as shown in (2).…”

Section: Clustering Algorithmmentioning

confidence: 99%

“…Outdoor wireless positioning is a practical function in people's daily life, which has been involved in many aspects of life, and it is also one of the basic service and application modules of government and commercial units, even in the military field. Many companies and scientific research teams are engaged in related research, which is one of the current research hotspots [1,2]. At present, the mature outdoor wireless positioning technology is based on satellites, such as the Global Positioning System (GPS) and the BeiDou Navigation Satellite System (BDS).…”

Section: Introductionmentioning

confidence: 99%

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Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment

Wang

Zhou

et al. 2021

Preprint

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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 useful information. Third, the processed information is combined with the spatial layout information of the scattering area model to construct equations, and then the solving problem of equations is converted into a least-squares optimization problem. Finally, the Levenberg-Marquardt (LM) algorithm is used to solve the optimal solution and estimate the mobile target position. The simulation results show that the positioning algorithm in this paper can use a single base station to locate the target in an outdoor Non-line-of-sight (NLOS) environment, and the accuracy is improved compared with the traditional positioning algorithm.

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Section: Clustering Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment

Wang

Zhou

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Outdoor positioning is a practical function in people's daily life, which has been involved in many aspects of life, and it is also one of the basic service and application modules of government and commercial units, even in the military field. Many companies and scientific research teams are engaged in related research [1,2]. At present, the mature outdoor positioning technology is based on satellites, such as the Global Positioning System (GPS) and the BeiDou Navigation Satellite System (BDS).…”

Section: Introductionmentioning

confidence: 99%

Single base station positioning based on multipath parameter clustering in NLOS environment

Wang

Zhou

et al. 2021

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

This paper proposes a scattering area model for processing multipath parameters achieve single base station positioning. First of all, we construct a scattering 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 useful information. Third, the processed information is combined with the spatial layout information of the scattering area model to construct equations, and then the solving problem of equations is converted into a least-squares optimization problem. Finally, the Levenberg-Marquardt (LM) algorithm is used to solve the optimal solution and estimate the mobile target position. The simulation results show that the positioning algorithm in this paper can be used by a single base station to locate the target in an outdoor non-line-of-sight (NLOS) environment, and the accuracy is improved compared with the traditional positioning algorithm.

show abstract

Study on Path Identification at 40 GHz Band in NLOS Urban Street Cell Environment

Cited by 2 publications

References 1 publication

Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment

Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment

Single base station positioning based on multipath parameter clustering in NLOS environment

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