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Detection Criterion on Airborne Sensor Measure Information Effectiveness

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DOI: 10.23977/jeis.2016.11001 | Downloads: 37 | Views: 3977


Weijia Wang 1, Bo Liu 2, Bingsong Xiao 1, Zhiying Peng 1


1 Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China
2 Science and Technology on Avionics Integration Laboratory, Shanghai 200233, China

Corresponding Author

Bingsong Xiao


Based on the detection criterion of traditional single threshold residual information, in order to get likelihood probability, this paper makes residual information fuzzy which is in the range of the upper and lower bounds (UBL for short) of sensor residual information effectiveness that is under incomplete measurement respectively set by steady-state error covariance under incomplete measurement and posterior Cramer-Rao bound (CRB). It advances the detection criteria on the basis of UBL of residual under incomplete measurement on the premise of residual information confidence at the moment according to Bayes formula and accomplishes the simulation.


Sensor, Incomplete measurement, error covariance Cramer-Rao bound


Bo, L. , Weijia, W. , Bingsong, X. and Zhiying, P. (2016) Detection Criterion on Airborne Sensor Measure Information Effectiveness. Journal of Electronics and Information Science (2016) 1: 1-5.


[1] J. Manyika, H. Durrant-Whyte. Data fusion and sensor management: a decentralized information-theoretic approach.
[2] D. A. Castañón, Approximate dynamic programming for sensor management. in Proc. of IEEE Conf. Decision and Control, vol. 2, 1997, pp. 1202–1207.
[3] Nahi N E. Optimal recursive estimation with uncertain observation[J]. IEEE Transactions on Information Theory, 1969, 15(4): 457-462.
[4] Hong-fa Ke, Yong-guang Chen, Jin-liang Wu. Uncertainty information processing of effectiveness evaluation for electronic warfare equipment[J]. Military Operations Research and Systems Engineering, 2007. 4: 3(1):36-40.
[5] Jun Tong, Gan-lin Shan. Multi-sensor tracking resource coordinated allocation based on Cramér-Rao low bound[J]. Journal of Astronautics, 2012(9), 33(9):1314-1321.
[6] P. Shi, M. Mahmoud, S. K. Nguang, A. Ismail. Robust filtering for jumping systems with mode-dependent delays[J]. Signal Processing, 2006, Vol. 86, No. 1, pp. 140-152.

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