α–β–γ tracking filters using acceleration measurements
Author:
Funder
Japan Society for the Promotion of Science
Ministry of Internal Affairs
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1186/s40064-016-1960-8.pdf
Reference11 articles.
1. Besada JA, de Miguel G, Soto A, Herrero JG (2007) Tracking filters using kinematic measurements. In: Proceedings of 2007 10th international conference on information fusion, Quebe, Que, pp 1–8
2. Du G, Zhang P (2015) A markerless human robot interface using particle filter and kalman filter for dual robots. IEEE Trans Ind Electron 62:2257–2264
3. Jin B, Jiu B, Su T, Liu J, Liu G (2015) Switched kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking. IET Radar Sonar Navig 9:199–209
4. Kosuge Y, Ito M (2001) A necessary and sufficient condition for the stability of an α–β–γ filter. In: Proceedings of the 40th SICE Annual Conference, Nagoya, pp 7–12
5. Kosuge Y, Ito M (2003) Evaluating an α–β filter in terms of increasing a track update-sampling rate and improving measurement accuracy. Electron Commun Jpn (Part I: Communications) 86:10–20
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