Standard
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
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 -