Multiple hypothesis testing fusion method for multisensor systems

We present a multiple hypothesis testing method for multisensor systems. Generalizing previous work by Wang et al. (1996, 1998) from binary hypothesis testing to multiple hypotheses testing, we re-partition the decision space for multiple hypotheses problems and offer a third decision option to increase the decision flexibility and reflect reality. The set of optimal decision rules is derived for multisensor systems with a fusion center. System performance can also be quantified. A numerical example is given to illustrate the proposed method.

[1]  Robert R. Tenney,et al.  Detection with distributed sensors , 1980 .

[2]  Helen C. Shen,et al.  Multiple hypothesis testing method for decision making , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[3]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[4]  Firooz Sadjadi.  Hypotheses Testing in a Distributed Environment , 1986, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Wen-Han Qian,et al.  On the uncertainty and ignorance of statistical decision and evidence combination , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[6]  M. Barkat,et al.  Decentralized CFAR signal detection , 1989 .

[7]  Emad K. Al-Hussaini,et al.  Decentralized CFAR signal detection , 1995, Signal Process..

[8]  P.K. Varshney,et al.  Optimal Data Fusion in Multiple Sensor Detection Systems , 1986, IEEE Transactions on Aerospace and Electronic Systems.