Reliable fusion estimation over sensor networks with outliers and energy constraints

• Published in: International journal of robust and nonlinear control Vol. 29; no. 17; pp. 5913 - 5929
• Main Authors: Xie, Meiling, Ding, Derui, Dong, Hongli, Han, Qing‐Long, Wei, Guoliang
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 25.11.2019
• Subjects: Channels; Covariance matrix; distributed filtering; Energy costs; information compensation; outliers; Outliers (statistics); Probability theory; reliable fusion estimation; sensor networks; State estimation; χ2 detection
• ISSN: 1049-8923; 1099-1239
• DOI: 10.1002/rnc.4706

Summary This paper provides a reliable fusion scheme over sensor networks subject to abnormal measurements and energy constraints. Two kinds of channels are employed to implement the information transmission in order to extend the lifetime. Specifically, the one has the merit of high reliability by sacrificing energy cost and the other reduces the energy cost but could result in packet loss. For the addressed problem, a χ2 detection in local state estimator is first designed to remove abnormal measurements, which could come from outliers or a malicious modification by attackers. Then, a new strategy is developed to compensate the lost local estimation transmitted by low‐reliable channels. Furthermore, by view of matrix operation and probability theory, a set of recursive formulas are developed to calculate desired error covariance matrices of local state estimation, compensated state estimation as well as fusion estimation. The optimal fusion weights are obtained analytically and the advantage of fusion estimation is disclosed by resorting to these covariance matrices. Finally, a numerical example is used to illustrate the effectiveness of the proposed method.