Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement

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Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement. / Zhang, Jie; Salmi, Jussi; Lohan, Elena-Simona.

In: IEEE Transactions on Vehicular Technology, Vol. 62, No. 6, 2013, p. 2871-2874.

Research output: Contribution to journal › Article › Scientific › peer-review

Author

Zhang, Jie ; Salmi, Jussi ; Lohan, Elena-Simona. / Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement. In: IEEE Transactions on Vehicular Technology. 2013 ; Vol. 62, No. 6. pp. 2871-2874.

Bibtex - Download

@article{be92efc4eb4a499c928197d995d548ac,

title = "Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement",

abstract = "The positioning methods based on the received signal strength (RSS) measurement connect the RSS value with location of the mobile station (MS). However, the accuracy of location is degraded due to the complicated indoor environment, particularly no-line-of-sight (NLOS) propagation. In order to improve the accuracy and reliability of wireless location, the knowledge of whether the base station (BS)-MS path is line-of-sight (LOS) or NLOS is very important. In this paper, we present statistics analysis based on multiple-input and multiple-output (MIMO) channel measurement to perform NLOS identification.",

author = "Jie Zhang and Jussi Salmi and Elena-Simona Lohan",

note = "Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2013-10-29<br/>Publisher name: Institute of Electrical and Electronics Engineers IEEE",

year = "2013",

doi = "10.1109/TVT.2013.2249121",

language = "English",

volume = "62",

pages = "2871--2874",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers",

number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement

AU - Zhang, Jie

AU - Salmi, Jussi

AU - Lohan, Elena-Simona

N1 - Contribution: organisation=elt,FACT1=1<br/>Portfolio EDEND: 2013-10-29<br/>Publisher name: Institute of Electrical and Electronics Engineers IEEE

PY - 2013

Y1 - 2013

N2 - The positioning methods based on the received signal strength (RSS) measurement connect the RSS value with location of the mobile station (MS). However, the accuracy of location is degraded due to the complicated indoor environment, particularly no-line-of-sight (NLOS) propagation. In order to improve the accuracy and reliability of wireless location, the knowledge of whether the base station (BS)-MS path is line-of-sight (LOS) or NLOS is very important. In this paper, we present statistics analysis based on multiple-input and multiple-output (MIMO) channel measurement to perform NLOS identification.

AB - The positioning methods based on the received signal strength (RSS) measurement connect the RSS value with location of the mobile station (MS). However, the accuracy of location is degraded due to the complicated indoor environment, particularly no-line-of-sight (NLOS) propagation. In order to improve the accuracy and reliability of wireless location, the knowledge of whether the base station (BS)-MS path is line-of-sight (LOS) or NLOS is very important. In this paper, we present statistics analysis based on multiple-input and multiple-output (MIMO) channel measurement to perform NLOS identification.

U2 - 10.1109/TVT.2013.2249121

DO - 10.1109/TVT.2013.2249121

M3 - Article

VL - 62

SP - 2871

EP - 2874

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 6

ER -

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