Bayesian Methods in the Search for MH370

简介:
本书演示了如何使用非线性/非高斯贝叶斯时间序列估计方法来产生潜在MH370飞行路径的概率分布。它提供了有关如何构建和校准飞机飞行动力学,卫星通信系统测量,环境影响和雷达数据的概率模型的详细信息。概率分布用于定义印度洋南部的搜索区。本书描述了基于粒子滤波器的飞机飞行路径概率分布的数值计算,并使用来自多个相关飞机先前飞行的数据验证了该方法。最后显示了留尼汪岛襟副翼碎片的发现如何影响搜索概率分布。
英文简介:
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths.
It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean.
The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
- 书名
- Bayesian Methods in the Search for MH370
- 译名
- MH370 搜寻中的贝叶斯方法
- 语言
- 英语
- 年份
- 2016
- 页数
- 124页
- 大小
- 6.58 MB
- 标签
- Bayesian Method
- 机器学习
- 下载
Bayesian Methods in the Search for MH370.pdf
- 密码
- 65536
最后更新:2025-04-12 23:54:39