Title
Optimal Detection Of A Particle Source Using Cubical And Spherical Directional Detector Arrays
Abstract
The detection of a particle source that is in the far-field is studied in this paper. Both cubical and spherical arrays are considered for this purpose. For a cubical array, we propose the truncated mean test (TMT) for stationary sources, and show that the test is optimal. An asymptotic analysis on the optimal probabilities of detection and false-alarm is presented. This analysis is then extended to spherical arrays. The ramification of source dynamics on the detection of a moving particle source is considered next, and an optimal test - in the Neyman-Pearson sense - called the truncated likelihood ratio test, is presented. In all cases, the theoretical analysis is validated through Monte Carlo simulations. Moreover, we note that the TMT significantly outperforms existing techniques that include the mean difference test, the source intensity test and the generalized likelihood ratio test.
Year
Venue
Keywords
2017
2017 AMERICAN CONTROL CONFERENCE (ACC)
Truncated mean test, particle source, directional detector array, source dynamics, truncated likelihood ratio test
Field
DocType
ISSN
Monte Carlo method,Noise measurement,Likelihood-ratio test,Mathematical analysis,Control theory,Signal-to-noise ratio,Electronic engineering,Truncated mean,Ramification (botany),Detector,Asymptotic analysis,Mathematics
Conference
0743-1619
Citations 
PageRank 
References 
1
0.41
4
Authors
4
Name
Order
Citations
PageRank
Sahana Srikanth110.41
Chaya N. S.210.41
Gurugopinath, S.3104.65
Koshy George495.26