Real-Time Radiological Source Term Estimation for Multiple Sources in Cluttered Environments
- Georgia Institute of Technology, Atlanta, GA (United States); Georgia Institute of Technology
- Georgia Institute of Technology, Atlanta, GA (United States)
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
A particle filter algorithm is presented to estimate the position, strength, and cardinality of an unknown number of radioactive point sources in an obstacle-rich environment using count measurements. The algorithm addresses gaps in the prior literature by incorporating two novel elements. The first is a precomputation step in which local terrain and obstacle data is processed to compute attenuation kernels throughout the search area. This enables rapid estimation performance in obstacle-rich environments as measurements are gathered. The second novel feature is a dynamic particle allocation technique in which the number of particles is adjusted in real time to meet convergence goals. This feature allows the algorithm to scale more efficiently to scenarios with a larger number of sources. A series of computational experiments using simulated data demonstrates the algorithm’s performance in a cluttered environment with up to eight sources.
- Research Organization:
- Georgia Institute of Technology, Atlanta, GA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003921
- OSTI ID:
- 1922476
- Journal Information:
- IEEE Transactions on Nuclear Science, Journal Name: IEEE Transactions on Nuclear Science; ISSN 0018-9499
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
Similar Records
Radiological Source Term Estimation and Isotopic Identification with Parallel Log Domain Particle Filters