Title :
Optimal binary distributed detection
Author :
Shi, Wei ; Sun, Thomas W. ; Wesel, Richard D.
Author_Institution :
California Univ., Los Angeles, CA, USA
Abstract :
This paper considers a distributed binary detection system with n binary independent identical sensors. We show that the system-wise probability of error is a quasi-convex function of local threshold τ for generalized Gaussian noise and some non-Gaussian noise distributions. This yields a globally optimal and computationally feasible solution technique
Keywords :
Gaussian noise; array signal processing; error statistics; optimisation; sensor fusion; signal detection; distributed binary detection system; generalized Gaussian noise; independent identical sensors; local threshold; nonGaussian noise distribution; optimal binary distributed detection; probability of error; quasi-convex function; Bayesian methods; Detectors; Error probability; Gaussian noise; H infinity control; Marine vehicles; Sensor systems; Sun; Testing; Voting;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866735
