Algorithms and Intelligent Sensors Technique for Fusion Processing to Find Fault Sensor Localization in Approximate Agreement Method
Abstract
Keywords
Full Text:
PDFReferences
Y. Shi, Y. H. Dong, X. M. Shan, Asynchronous track fusion in a multi-scale sensor environment, the 10th Asia-Pacific conference on communications and 5th international symposium on multisensor. Liu et al. /Journal of Information & Computational Science 7: 10,2004, pp. 323-327.
K. C. Chang, R. K. Saha, Y. Bar-Shalom, On optimal track-to-Track Fusion, IEEE Transactions on Aerospace and Electronic Systems, 33 (1997) 1271-1276.
Y. Bar-Shalom, X. R. Li, Multitarget-Multisensor Tracking: Principles and Techniques, New Orleans: University of New Orleans, 1995
Y. Bar-Shalom, On the track-to-track cross-covariance problem, IEEE Transactions on Automatic Control, 26 (1981) 571-572.
Y. Bar-Shalom, L. Campo, The effect of common process noise on the two-sensor fused-track covariance, IEEE Transactions on Aerospace and Electronic Systems, 22 (1986) 803-805.
S. L. Sun, Multi-sensor optimal information fusion kalman filter for discrete multichannel ARMA Signals, In proceedings of 2003 IEEE International Symposium on Intelligent Control, 2003, pp. 377-382.
S. L. Sun, Z. L. Deng, Multi-sensor optimal information fusion kalman filter, Automatica, 40 (2004) 1017-1023.
] B. F. La Scala, A. Farina, Choosing a Track Association Method, Information Fusion, 3 (2001) 119-133.
A.P.Baisnab, M.Jas, "Elements of probability and statistics", Tata Mc.Graw Hill publication – Ltd – 2002.
Yair Amir, Claudiu Danilov, Danny Dolev, Jonathan Kirsch, John Lane, Cristina Nita-Rotaru, Josh Olsen, David Zage, Scaling Byzantine Fault-Tolerant Replication to Wide Area Networks, DSN-DCCS 2006, June 2006.
T. Bass. Intrusion Detection Systems and Multisensor Data Fusion: Creating Cyberspace Situational Awareness. Communications of the ACM, 43(4):99–105, May 2000.
S. S. Blackman. Introduction to Sensor Systems, Chapter Multiple Sensor Tracking and Data Fusion. Artech House, Norwood, Mas-sachusetts, 1988.
J.E. Brignell and J. K. Atkinson, "Sensors, intelligence and networks", presented at Solid State and Smart Sensors, IEE Colloquium on, 1988.
R.Brooks and S.Iyengar, "Robust Distributed Computing and Sensing Algorithm", IEEE Computer, pp.53-60, June 1996.
P. Chew and K. Marzullo. Masking Failures of Multidimensional Sen-sors. In Proceedings of the 10th Symposium on Reliable Distributed Systems, pages 32–41, Pisa, Italy, Oct. 1991.
J. J. Clark and A. L. Yuille, Data Fusion for Sensory Information Processing Systems, Kluwer, 1990.
Deb S., K. Pattipati, Y. Bar-Shalom, “A Multisensor-Multitarget Data Association Algorithm for Heterogeneous Sensors”. IEEE Trans on AES, 29 (2): 560-568, 1993.
D. Dolev et al., "Reaching Approximate Agreement in the Presence of Faults," J. ACM, July 1986, pp. 499-516.
Girija G, Raol J R, Appavu Raj R, Banerjee P 1999 Intelligent multi sensor data fusion. Presented at the National Seminar on Intelligent and Autonomous Systems, Computer Society of India, Mumbai.
D. Jayasimha, "Fault Tolerance in a Multisensor Environment", Dept. of Computer Science, The Ohio University, May 1994.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.