Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
A computational geometry method for localization using differences of distances
ACM Transactions on Sensor Networks (TOSN)
Least squares estimation techniques for position tracking of radioactive sources
Automatica (Journal of IFAC)
Accurate localization of low-level radioactive source under noise and measurement errors
Proceedings of the 6th ACM conference on Embedded network sensor systems
A computational geometry method for localization using differences of distances
ACM Transactions on Sensor Networks (TOSN)
Identification of low-level point radioactive sources using a sensor network
ACM Transactions on Sensor Networks (TOSN)
Towards a discipline of geospatial distributed event based systems
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
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Identification of a low-level point radiation source amidst background radiation is achieved by a network of radiation sensors using a two-step approach. Based on measurements from three sensors, the geometric difference triangulation method is used to estimate the location and strength of the source. Then a sequential probability ratio test based on current measurements and estimated parameters is employed to finally decide: (1) the presence of a source with the estimated parameters, or (2) the absence of the source, or (3) the insufficiency of measurements to make a decision. This method achieves specified levels of false alarm and missed detection probabilities, while ensuring a close-to-minimal number of measurements for reaching a decision. This method minimizes the ghost-source problem of current estimation methods, and achieves a lower false alarm rate compared with current detection methods. This method is tested and demonstrated using: (1) simulations, and (2) a test-bed that utilizes the scaling properties of point radiation sources to emulate high intensity ones that cannot be easily and safely handled in laboratory experiments.