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Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering

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Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering. / Muthukrishnan, Kavitha; Hazas, Michael.
Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings . ed. / Tanzeem Choudhury ; Aaron Quigley ; Thomas Strang ; Koji Suginuma . Berlin: Springer, 2009. p. 222-239 (Lecture Notes in Computer Science; Vol. 5561).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Muthukrishnan, K & Hazas, M 2009, Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering. in T Choudhury , A Quigley , T Strang & K Suginuma (eds), Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings . Lecture Notes in Computer Science, vol. 5561, Springer, Berlin, pp. 222-239. https://doi.org/10.1007/978-3-642-01721-6_14

APA

Muthukrishnan, K., & Hazas, M. (2009). Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering. In T. Choudhury , A. Quigley , T. Strang , & K. Suginuma (Eds.), Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings (pp. 222-239). (Lecture Notes in Computer Science; Vol. 5561). Springer. https://doi.org/10.1007/978-3-642-01721-6_14

Vancouver

Muthukrishnan K, Hazas M. Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering. In Choudhury T, Quigley A, Strang T, Suginuma K, editors, Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings . Berlin: Springer. 2009. p. 222-239. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-01721-6_14

Author

Muthukrishnan, Kavitha ; Hazas, Michael. / Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering. Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings . editor / Tanzeem Choudhury ; Aaron Quigley ; Thomas Strang ; Koji Suginuma . Berlin : Springer, 2009. pp. 222-239 (Lecture Notes in Computer Science).

Bibtex

@inproceedings{f7413baf8384404bb1dba90fddee19f7,
title = "Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering",
abstract = "This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning system. The performance of both the algorithms is evaluated using real data from two deployments, for both static and dynamic scenarios. We also consider the effectiveness of the proposed algorithms for systems with reduced infrastructure (lower deployment density), and for lower-complexity sensing platforms which are only capable of providing either pseudorange or angle-of-arrival. ",
author = "Kavitha Muthukrishnan and Michael Hazas",
year = "2009",
month = may,
doi = "10.1007/978-3-642-01721-6_14",
language = "English",
isbn = "978-3-642-01720-9 ",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "222--239",
editor = "{Choudhury }, {Tanzeem } and {Quigley }, {Aaron } and {Strang }, {Thomas } and {Suginuma }, {Koji }",
booktitle = "Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings",

}

RIS

TY - GEN

T1 - Position Estimation from UWB Pseudorange and Angle-of-Arrival: A Comparison of Non-linear Regression and Kalman Filtering

AU - Muthukrishnan, Kavitha

AU - Hazas, Michael

PY - 2009/5

Y1 - 2009/5

N2 - This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning system. The performance of both the algorithms is evaluated using real data from two deployments, for both static and dynamic scenarios. We also consider the effectiveness of the proposed algorithms for systems with reduced infrastructure (lower deployment density), and for lower-complexity sensing platforms which are only capable of providing either pseudorange or angle-of-arrival.

AB - This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning system. The performance of both the algorithms is evaluated using real data from two deployments, for both static and dynamic scenarios. We also consider the effectiveness of the proposed algorithms for systems with reduced infrastructure (lower deployment density), and for lower-complexity sensing platforms which are only capable of providing either pseudorange or angle-of-arrival.

U2 - 10.1007/978-3-642-01721-6_14

DO - 10.1007/978-3-642-01721-6_14

M3 - Conference contribution/Paper

SN - 978-3-642-01720-9

T3 - Lecture Notes in Computer Science

SP - 222

EP - 239

BT - Location and Context Awareness 4th International Symposium, LoCA 2009 Tokyo, Japan, May 7-8, 2009 Proceedings

A2 - Choudhury , Tanzeem

A2 - Quigley , Aaron

A2 - Strang , Thomas

A2 - Suginuma , Koji

PB - Springer

CY - Berlin

ER -