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Bayesian Approach to Predicting an Unknown Number of Targets Based on Sensor Performance

机译：基于传感器性能预测未知目标数的贝叶斯方法

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摘要

Estimating remaining targets after some attempt has been made to detect an overall, unknown number of targets is critical to determining the potential threat associated with these remaining targets. This paper presents a Bayesian approach to calculate the distribution on the number of remaining targets given the sensor performance and the number of targets detected. For a single sensor, a closed form posterior distribution on remaining targets is derived. For multiple sensors, the corresponding posterior distribution is developed. A naive implementation of this calculation is shown to be computationally prohibitive, and an efficient means for performing the calculation is presented.

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作者
Bryan, K. ; Carthel, C.;
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年度 2006
页码 1-12
总页数 12
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Targets; Bayes theorem; Symposia; Underwater mines; Probability distribution functions;

机译：目标;贝叶斯定理;专题讨论会;水下地雷;概率分布函数;

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2. A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability [J] . Eloi Figueiredo, Lucian Radu, Keith Worden, Engineering Structures . 2014,第deca1期

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4. Robust feature-based Bayesian ground target recognition using decision confidence for unknown target rejection [C] . John J. Westerkamp, Air Force Research Lab., Wright Patterson Afb, Conference on algorithms for synthetic aperture radar imagery . 1999

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5. Towards building effective predictive model in software engineering: A Bayesian belief network based approach. [D] . Tang, Yan. 2010

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6. Online Variational Bayesian Filtering-Based Mobile Target Tracking in Wireless Sensor Networks [O] . Bingpeng Zhou, Qingchun Chen, Tiffany Jing Li, 2014

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7. A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree [O] . Irwin Guttman, Daniel Peña, Dolores Redondas 2014

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Bayesian Approach to Predicting an Unknown Number of Targets Based on Sensor Performance

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