Network Detection of Radiation Sources Using Localization-Based Approaches

Wu, Chase Q.; Berry, Mark L.; Grieme, Kayla M.; Sen, Satyabrata; Rao, Nageswara S. V.; Brooks, Richard; Cordone, Guthrie

doi:10.1109/tii.2019.2891253

Cited by 18 publications

(18 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where x i (t) is the number of counts in the i'th detector at time t, with λ 0 and d i as previously defined [89]. For a system of three detectors (i ∈ {1, 2, 3}) at known positions (r i ), the set of equations defined by Equation ( 12) is solved to estimate the source location, r 0 .…”

Section: Spatially Distributed Detector Networkmentioning

confidence: 99%

Current and Prospective Radiation Detection Systems, Screening Infrastructure and Interpretive Algorithms for the Non-Intrusive Screening of Shipping Container Cargo: A Review

Connolly

Martin

2021

JNE

View full text Add to dashboard Cite

The non-intrusive screening of shipping containers at national borders serves as a prominent and vital component in deterring and detecting the illicit transportation of radioactive and/or nuclear materials which could be used for malicious and highly damaging purposes. Screening systems for this purpose must be designed to efficiently detect and identify material that could be used to fabricate radiological dispersal or improvised nuclear explosive devices, while having minimal impact on the flow of cargo and also being affordable for widespread implementation. As part of current screening systems, shipping containers, offloaded from increasingly large cargo ships, are driven through radiation portal monitors comprising plastic scintillators for gamma detection and separate, typically 3He-based, neutron detectors. Such polyvinyl-toluene plastic-based scintillators enable screening systems to meet detection sensitivity standards owing to their economical manufacturing in large sizes, producing high-geometric-efficiency detectors. However, their poor energy resolution fundamentally limits the screening system to making binary “source” or “no source” decisions. To surpass the current capabilities, future generations of shipping container screening systems should be capable of rapid radionuclide identification, activity estimation and source localisation, without inhibiting container transportation. This review considers the physical properties of screening systems (including detector materials, sizes and positions) as well as the data collection and processing algorithms they employ to identify illicit radioactive or nuclear materials. The future aim is to surpass the current capabilities by developing advanced screening systems capable of characterising radioactive or nuclear materials that may be concealed within shipping containers.

show abstract

Section: Spatially Distributed Detector Networkmentioning

confidence: 99%

Current and Prospective Radiation Detection Systems, Screening Infrastructure and Interpretive Algorithms for the Non-Intrusive Screening of Shipping Container Cargo: A Review

Connolly

Martin

2021

JNE

View full text Add to dashboard Cite

show abstract

“…This concept has been around for over a decade [194,195,196]; however, the realisation of the advantages of this technique along with the advances in network and communication fields will lead to new developments in this area. Examples of network systems and algorithms in this field are the RAdTrac network system for gamma detectors, the particle filter algorithm for a network of gamma counters and the ROSD-RSD (Ratio of Squared Distance-Radiation Source Distance) algorithm method [197,198,199,200]. Other systems like identiFINDER S900 [201] and SmartShieldTM v2.0 [202] are commercially available for radionuclides identification and tracking.…”

Section: Passive Detection Systems Of Illicit Radioactive Materialsmentioning

confidence: 99%

Passive Gamma-Ray and Neutron Imaging Systems for National Security and Nuclear Non-Proliferation in Controlled and Uncontrolled Detection Areas: Review of Past and Current Status

Hamrashdi

Monk

Cheneler

2019

Sensors

View full text Add to dashboard Cite

Global concern for the illicit transportation and trafficking of nuclear materials and other radioactive sources is on the rise, with efficient and rapid security and non-proliferation technologies in more demand than ever. Many factors contribute to this issue, including the increasing number of terrorist cells, gaps in security networks, politically unstable states across the globe and the black-market trading of radioactive sources to unknown parties. The use of passive gamma-ray and neutron detection and imaging technologies in security-sensitive areas and ports has had more impact than most other techniques in detecting and deterring illicit transportation and trafficking of illegal radioactive materials. This work reviews and critically evaluates these techniques as currently utilised within national security and non-proliferation applications and proposes likely avenues of development.

show abstract

“…Different form the strength correction, the location correction is directly integrated into the synthesized weighting process. Given strength deviation surface, the location-related correction factor for each particle state p r,s can be calculate through (14).…”

Section: Gaussian Processes Correction On Locationsmentioning

confidence: 99%

“…Enlightened by above facts, a belief-based adaptive policy is conceived to allocate effective phases for both correction modules. The adaptive scales b IntConf and b PosConf are incorporated into factor calculation in (12) and (14), and the varying factors are defined in (15) and (16).…”

Section: The Scaling Adaptive Policymentioning

confidence: 99%

“…Based on non-directional sensors, various formulations have been studied extensively for the multi-source localization problem [11]- [20]. A commonly utilized method is to establish complex probabilistic models for multiple sources, then Expectation Maximization (EM) or Maximum Likelihood Estimation (MLE) can be employed for parameter optimization [12]- [14]. As referenced in [12], the multi-source likelihood model is established with the joint Poisson density, then the Cramer-Rao Bound (CRB) criterion follows to select models with different source number.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Dynamic Optimization of PSPF-Based Sources Estimation in Local Multi-Modal Radiation Field

et al. 2019

View full text Add to dashboard Cite

This paper presents a novel Gaussian Processes-Peak Suppression Particle Filter (GP-PSPF) method with adaptive weighting corrections, so as to identify sources in the multi-modal radiation field under some tough conditions, e.g. spatially sparse measurements and sources with large strength differences. As the radiation cumulative effect and ambiguous source number, most existing methods fail to localize the hotspots clustered in narrow regions, and PSPF scheme overcomes these difficulties through multilayer structure and peak-suppressed correction. In contrast to our earlier work, the proposed algorithm mainly focuses on more severe and practicable conditions, as well as accuracy and robustness improvement. Firstly measurement biases are adopted as the correction feedback through Gaussian Processes technique, and then strength deviation for each particle can be inferred and utilized in two dynamic modules. The dynamic peak-suppressed correction is implemented to achieve more accurate estimations, while the location correction focuses on the solution of location dilemmas, consisting of redundant source identification and less swarm clustering. In addition, scaling adaptation policy and sequential swarm reordering are specially conceived and developed for more stable and accurate optimization. Finally, extensive simulations and physical experiment are conducted under above-mentioned intractable situations, validating the accuracy improvement and practical effectiveness of the algorithm. INDEX TERMS Multiple sources localization, particle filter, multi-modal radiation field, dynamic weighting correction, Gaussian processes.

show abstract

Network Detection of Radiation Sources Using Localization-Based Approaches

Cited by 18 publications

References 14 publications

Current and Prospective Radiation Detection Systems, Screening Infrastructure and Interpretive Algorithms for the Non-Intrusive Screening of Shipping Container Cargo: A Review

Current and Prospective Radiation Detection Systems, Screening Infrastructure and Interpretive Algorithms for the Non-Intrusive Screening of Shipping Container Cargo: A Review

Passive Gamma-Ray and Neutron Imaging Systems for National Security and Nuclear Non-Proliferation in Controlled and Uncontrolled Detection Areas: Review of Past and Current Status

Improved Dynamic Optimization of PSPF-Based Sources Estimation in Local Multi-Modal Radiation Field

Contact Info

Product

Resources

About