Numerical Solutions for Aircraft Tracking and Position Prediction

飞机跟踪和位置预测的数值解决方案

• 批准号: 9060982
• 负责人: Douglas Hulbert
• 金额: $ 4.98万
• 依托单位: Daniel H Wagner Associates Inc (Hampton Office)
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-01-01 至 1991-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9060982&HistoricalAwards=false
• 关键词: Numerical; Solutions; Aircraft; Tracking; Position

The objective of this program is to design a computer algorithm and prototype implementation to track aircraft in a sparse reporting environment. The probability density function of the observed aircraft will be propagated between arrivals of new target reports by means of the numerical solution of a partial differential equation of evolution of a nonlinear stochastic differential equation of aircraft motion. The resulting non-Gaussian density will be combined with new reports using Bayesian methods to update estimates of aircraft position. In order to perform the tracking function in realtime, the algorithm will be designed to work in paralled computing environment. When implemented in the multiprocessor environment, the algorithm will improve the performance of a currently operational software system used for aircraft detection and tracking.

这个计划的目标是设计一台计算机 算法和原型实现跟踪飞机在一个 稀疏的报告环境。 概率密度函数 观察到的飞机将在到达之间传播， 新的目标报告，通过数值解的一个 非线性发展偏微分方程 飞机运动随机微分方程 的 由此产生的非高斯密度将与新的报告相结合 使用贝叶斯方法来更新飞机位置的估计。 为了实时执行跟踪功能， 算法将被设计为在并行计算中工作 环境 当在多处理器环境中实现时， 该算法将提高当前 用于飞机探测的操作软件系统 跟踪.