摘要
Navigation accuracy category-position （NACp） is an important parameter for system accuracy of traffic information service-broadcast （TIS-B）, which is determined by estimate position uncertainty （EPU）. Centered about the problems that the exist ing EPU calculation based on noise measurement is low in accuracy and unfit for describing uncorrected biases in target reports, this article analyses the traditional NACp model, and uses the least square estimation （LSE） in EPU calculation. Furthermore, it proposes an extended NACp model, which considers both noise and biases and acquires EPU estimation with the help of approximate multiplex Taylor expression. Analysis and simulation show that the proposed method not only leads to significant improvement of the accuracy of EPU calculation, but is fit for EPU calculation with tracking biases in TIS-B system as well. As such it can find application in practice to depict different kinds of error models in TIS-B system.
Navigation accuracy category-position （NACp） is an important parameter for system accuracy of traffic information service-broadcast （TIS-B）, which is determined by estimate position uncertainty （EPU）. Centered about the problems that the exist ing EPU calculation based on noise measurement is low in accuracy and unfit for describing uncorrected biases in target reports, this article analyses the traditional NACp model, and uses the least square estimation （LSE） in EPU calculation. Furthermore, it proposes an extended NACp model, which considers both noise and biases and acquires EPU estimation with the help of approximate multiplex Taylor expression. Analysis and simulation show that the proposed method not only leads to significant improvement of the accuracy of EPU calculation, but is fit for EPU calculation with tracking biases in TIS-B system as well. As such it can find application in practice to depict different kinds of error models in TIS-B system.
基金
National High-tech Research and Development Program (2006AA12A103,2009AA122Z329)
National Science Fund for Distinguished Young Scholars (60625102)
