Journal article
Source Localization by a Binary Sensor Network in the Presence of Imperfection, Noise, and Outliers
IEEE transactions on automatic control, Vol.63(2), pp.347-359
02/2018
DOI: 10.1109/TAC.2017.2713049
Abstract
In this paper, source localization by a network of primitive binary sensors under various imperfections are studied. Detailed analysis and mathematical modeling of imperfect binary sensors are presented. Imperfections include sensor failures of two types, drifting, uncertainty, and heterogeneity in binary sensor trigger thresholds, presence of noise, and nonradial symmetry of sensing ranges. Theoretical results, including asymptotical convergence, are established, in particular in the presence of substantial outliers due to sensor failure and large noise. Efficient numerical algorithms are proposed and simulated supporting the theoretical analysis.
Details
- Title: Subtitle
- Source Localization by a Binary Sensor Network in the Presence of Imperfection, Noise, and Outliers
- Creators
- Er-Wei Bai
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on automatic control, Vol.63(2), pp.347-359
- DOI
- 10.1109/TAC.2017.2713049
- ISSN
- 0018-9286
- eISSN
- 1558-2523
- Grant note
- name: National Science Foundation, award: CNS-1239509
- Language
- English
- Date published
- 02/2018
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197161402771
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