Improved Multi-Resolution Method for MLE-based Localization of Radiation Sources

被引:0
作者
Cordone, Guthrie [1 ]
Brooks, Richard R. [1 ]
Sen, Satyabrata [2 ]
Rao, Nageswara S. V. [2 ]
Wu, Chase Q. [3 ]
Berry, Mark L. [3 ]
Grieme, Kayla M. [3 ]
机构
[1] Clemson Univ, Dept Elect & Comp Engn, Clemson, SC 29634 USA
[2] Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN 37831 USA
[3] New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA
来源
2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | 2017年
关键词
Maximum likelihood estimation; radiation source; localization; multi-resolution grid search; RADIOACTIVE SOURCES; TRACKING;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multi-resolution grid computation is a technique used to speed up source localization with a Maximum Likelihood Estimation (MLE) algorithm. In the case where the source is located midway between grid points, the MLE algorithm may choose an incorrect location, causing following iterations of the search to close in on an area that does not contain the source. To address this issue, we propose a modification to multi-resolution MLE that expands the search area by a small percentage between two consecutive MLE iterations. At the cost of slightly more computation, this modification allows consecutive iterations to accurately locate the target over a larger portion of the field than a standard multi-resolution localization. The localization and computation performance of our approach is compared to both standard multi-resolution and single-resolution MLE algorithms. Tests are performed using seven data sets representing different scenarios of a single radiation source located within an indoor field of detectors. Results show that our method (i) significantly improves the localization accuracy in cases that caused initial grid selection errors in traditional MLE algorithms, (ii) does not have a negative impact on the localization accuracy in other cases, and (iii) requires a negligible increase in computation time relative to the increase in localization accuracy.
引用
收藏
页码:51 / 58
页数:8
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