Performance evaluation of particle filter resampling techniques for improved estimation of misalignment and trajectory deviation-Reference-Cited by-同舟云学术

Performance evaluation of particle filter resampling techniques for improved estimation of misalignment and trajectory deviation

Published:2017-02-07 Issue:3 Volume:29 Page:821-838
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Chakraborty Sudipta^ORCID,Chattaraj Suvendu,Mukherjee Abhik

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Link

http://link.springer.com/article/10.1007/s11045-017-0472-1/fulltext.html

Reference39 articles.

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2. Bolić, M., Djurić, P. M., & Hong, S. (2004). Resampling algorithms for particle filters: A computational complexity perspective. EURASIP Journal on Applied Signal Processing, 2004, 2267–2277.

3. Bolić, M., Djurić, P. M., & Hong, S. (2005). Resampling algorithms and architectures for distributed particle filters. IEEE TSP, 53(7), 2442–2450.

4. Chakraborty, S., Chattaraj, S., & Mukherjee, A. (2016). Particle filter based estimation of navigation information during in-flight post ejection. In CIEC 2016, Kolkata (pp. 204:1–204:5).

5. Chattaraj, S., & Mukherjee, A. (2014a). Efficient in-flight transfer alignment using evolutionary strategy based particle filter algorithm. In 11th International conference on informatics in control, automation and robotics (ICINCO) (Vol. 1, pp. 5–13). IEEE.

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