Efficient location estimators in NLOS environments

Kegen Yu; Y. Jay Guo

doi:10.1109/PIMRC.2007.4394428

Efficient location estimators in NLOS environments

Kegen Yu^*, Y. Jay Guo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

2 Citations (Scopus)

Abstract

In the paper we consider location estimation in an non-line-of-sight (NLOS) environment. A constrained optimization based location algorithm is proposed to jointly estimate the unknown location and bias by using the sequential quadratic programming (SQP) algorithm. This method does not rely on any prior statistics information, and simulation results show that the proposed method outperforms the existing related methods considerably. To reduce the complexity of the SQP based algorithm, we further propose a Taylor-series expansion based linear quadratic programming (TS-LQP) algorithm. Simulation results demonstrate that the computational complexity of the TS-LQP algorithm is only a fraction of that of the SQP algorithm while the accuracy loss is marginal.

Original language	English
Title of host publication	18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-5
Number of pages	5
ISBN (Print)	1424411440, 9781424411443
DOIs	https://doi.org/10.1109/PIMRC.2007.4394428
Publication status	Published - 2007
Externally published	Yes
Event	18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 - Athens, Greece Duration: 3 Sept 2007 → 7 Sept 2007

Other

Other	18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07
Country/Territory	Greece
City	Athens
Period	3/09/07 → 7/09/07

Keywords

Constrained optimization
Joint location and bias estimation
NLOS propagation
Radio positioning

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10.1109/PIMRC.2007.4394428

Cite this

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title = "Efficient location estimators in NLOS environments",

abstract = "In the paper we consider location estimation in an non-line-of-sight (NLOS) environment. A constrained optimization based location algorithm is proposed to jointly estimate the unknown location and bias by using the sequential quadratic programming (SQP) algorithm. This method does not rely on any prior statistics information, and simulation results show that the proposed method outperforms the existing related methods considerably. To reduce the complexity of the SQP based algorithm, we further propose a Taylor-series expansion based linear quadratic programming (TS-LQP) algorithm. Simulation results demonstrate that the computational complexity of the TS-LQP algorithm is only a fraction of that of the SQP algorithm while the accuracy loss is marginal.",

keywords = "Constrained optimization, Joint location and bias estimation, NLOS propagation, Radio positioning",

author = "Kegen Yu and Guo, {Y. Jay}",

year = "2007",

doi = "10.1109/PIMRC.2007.4394428",

language = "English",

isbn = "1424411440",

pages = "1--5",

booktitle = "18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07 ; Conference date: 03-09-2007 Through 07-09-2007",

}

Yu, K & Guo, YJ 2007, Efficient location estimators in NLOS environments. in 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07., 4394428, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-5, 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07, Athens, Greece, 3/09/07. https://doi.org/10.1109/PIMRC.2007.4394428

Efficient location estimators in NLOS environments. / Yu, Kegen; Guo, Y. Jay.
18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 1-5 4394428.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Efficient location estimators in NLOS environments

AU - Yu, Kegen

AU - Guo, Y. Jay

PY - 2007

Y1 - 2007

N2 - In the paper we consider location estimation in an non-line-of-sight (NLOS) environment. A constrained optimization based location algorithm is proposed to jointly estimate the unknown location and bias by using the sequential quadratic programming (SQP) algorithm. This method does not rely on any prior statistics information, and simulation results show that the proposed method outperforms the existing related methods considerably. To reduce the complexity of the SQP based algorithm, we further propose a Taylor-series expansion based linear quadratic programming (TS-LQP) algorithm. Simulation results demonstrate that the computational complexity of the TS-LQP algorithm is only a fraction of that of the SQP algorithm while the accuracy loss is marginal.

AB - In the paper we consider location estimation in an non-line-of-sight (NLOS) environment. A constrained optimization based location algorithm is proposed to jointly estimate the unknown location and bias by using the sequential quadratic programming (SQP) algorithm. This method does not rely on any prior statistics information, and simulation results show that the proposed method outperforms the existing related methods considerably. To reduce the complexity of the SQP based algorithm, we further propose a Taylor-series expansion based linear quadratic programming (TS-LQP) algorithm. Simulation results demonstrate that the computational complexity of the TS-LQP algorithm is only a fraction of that of the SQP algorithm while the accuracy loss is marginal.

KW - Constrained optimization

KW - Joint location and bias estimation

KW - NLOS propagation

KW - Radio positioning

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SN - 9781424411443

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BT - 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07

Y2 - 3 September 2007 through 7 September 2007

ER -

Efficient location estimators in NLOS environments

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