Information driven search for point sources of gamma radiation.

*(English)*Zbl 1197.94115Summary: The problem is to estimate the number of radioactive point sources in a specified area and to estimate their parameters (locations and magnitudes), using measurements collected by a low-cost Geiger-Müller counter. The measurements are Poisson distributed with the mean proportional to the radiation field intensity. The radiation field represents a superposition of background radiation and the source contributions subjected to the inverse distance squared attenuation.

The solution is based on an information gain driven search which comprises a sequential Bayesian estimator coupled with a sensor/observer control unit. The control unit directs the observer(s) to move to new locations and acquire measurements that maximise the information gain in the Rényi divergence sense. The performance of the proposed information driven search, including a comparison with a unform search along a predefined path, is studied by simulations. A successful application of the proposed technique to experimental datasets, recently collected in the field trials, verifies the measurement model and the theoretical considerations.

The solution is based on an information gain driven search which comprises a sequential Bayesian estimator coupled with a sensor/observer control unit. The control unit directs the observer(s) to move to new locations and acquire measurements that maximise the information gain in the Rényi divergence sense. The performance of the proposed information driven search, including a comparison with a unform search along a predefined path, is studied by simulations. A successful application of the proposed technique to experimental datasets, recently collected in the field trials, verifies the measurement model and the theoretical considerations.

##### MSC:

94A12 | Signal theory (characterization, reconstruction, filtering, etc.) |

##### Keywords:

nuclear search; radioactive sources; sequential Monte Carlo estimation; sensor management; particle filter
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\textit{B. Ristic} et al., Signal Process. 90, No. 4, 1225--1239 (2010; Zbl 1197.94115)

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##### References:

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