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References (14)
-
R. Aggleton, L. Ardila-Perez, F. Ball, M. Balzer, G. Boudoul, J. Brooke, M. Caselle, L. Calligaris, D. Cieri, E. Clement, S. Dutta, G. Hall, K. Harder, P. Hobson, G. Iles, T. James, K. Manolopoulos, T. Matsushita, A. Morton, D. Newbold, S. Paramesvaran, M. Pesaresi, N. Pozzobon, I. Reid, A. Rose, O. Sander, C. Shepherd-Themistocleous, A. Shtipliyski, T. Schuh, L. Skinnari, S. Summers, A. Tapper, A. Thea, I. Tomalin, K. Uchida, P. Vichoudis, S. Viret, Marc Weber (2016)
An FPGA based track finder for the L1 trigger of the CMS experiment at the High Luminosity LHCJournal of Instrumentation, 12
-
A. Harvey (1987)
Advances in Econometrics: Applications of the Kalman filter in econometrics -
S. Summers (2018)
Application of FPGAs to Triggering in High Energy Physics -
G. Einicke (2006)
Optimal and robust noncausal filter formulationsIEEE Transactions on Signal Processing, 54
-
V. Innocente, E. Nagy (1993)
Trajectory fit in presence of dense materialsNuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 324
-
Sioni Summers, Why MaxCompiler, Benchmarking MaxCompiler (2017)
Using MaxCompiler for the high level synthesis of trigger algorithmsJournal of Instrumentation, 12
-
D. Gaylor, E. Lightsey (2003)
GPS/INS Kalman filter design for spacecraft operating in the proximity of the international space station -
R. Aggleton, L. Ardila-Perez, F. Ball, M. Balzer, J. Brooke, L. Calligaris, M. Caselle, D. Cieri, E. Clement, G. Hall, K. Harder, P. Hobson, G. Iles, T. James, K. Manolopoulos, T. Matsushita, A. Morton, D. Newbold, S. Paramesvaran, M. Pesaresi, I. Reid, A. Rose, O. Sander, T. Schuh, C. Shepherd-Themistocleous, A. Shtipliyski, S. Summers, A. Tapper, I. Tomalin, K. Uchida, P. Vichoudis, M. Weber (2017)
A novel FPGA-based track reconstruction approach for the level-1 trigger of the CMS experiment at CERN2017 27th International Conference on Field Programmable Logic and Applications (FPL)
-
R. Mankel (2004)
Pattern recognition and event reconstruction in particle physics experimentsReports on Progress in Physics, 67
-
A. Strandlie, R. Frühwirth (2010)
Track and vertex reconstruction: From classical to adaptive methodsReviews of Modern Physics, 82
-
(2002)
A New Approach to Linear Filtering and Prediction Problems -
A. Strandlie, W. Wittek (2006)
Derivation of Jacobians for the propagation of covariance matrices of track parameters in homogeneous magnetic fieldsNuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 566
-
Y. Bar-Shalom, Xiaorong Li, T. Kirubarajan (2001)
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software -
R. Frühwirth (1987)
Application of Kalman filtering to track and vertex fittingNuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 262
- Publisher
- Springer International Publishing
- Copyright
- © Springer Nature Switzerland AG 2019
- ISBN
- 978-3-030-31933-5
- Pages
- 69 –87
- DOI
- 10.1007/978-3-030-31934-2_5
- Publisher site
- See Chapter on Publisher Site
Abstract
[The Kalman filter uses linear quadratic estimation to produce estimates of unknown variables from a series of uncertain measurements. It can therefore be used to fit and filter the track candidates produced by the Hough transform track finder. In addition, a simple duplicate removal algorithm is described. A mathematical derivation of the algorithm is provided, alongside a description of the FPGA firmware design. FPGA resource utilisation and latency are provided.]
Published: Oct 29, 2019