کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8058371 | 1520063 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A robust astro-inertial integrated navigation algorithm based on star-coordinate matching
ترجمه فارسی عنوان
الگوریتم پیاده سازی یکپارچه با استفاده از تطبیق مختصات ستاره ای قوی است
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کلمات کلیدی
ناوبری مجتمع، فیوژن قوی، چارچوب یکپارچه سازی آسترینریتی قوی تطبیق مختصات ستاره آمار نرخ اختلال، برآورد حداکثر احتمال،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
چکیده انگلیسی
The astro-inertial integrated navigation system has the characteristic of anti-electromagnetic interference but suffers from aero-optical starlight perturbation when applied to hypersonic cruise vehicles (HCVs). Because there is no strategy in the traditional loosely coupled astro-inertial integration framework for recognising and evaluating skew in star observation, this system cannot adapt to perturbations, and the navigation accuracy tends to degrade. In this study, a strongly coupled framework for an astro-inertial integrated system is designed, and a robust astro-inertial fusion algorithm based on star-coordinate matching is proposed; the skew degree of each observed star is quantified by matching with the virtual star image re-established from INS measurements. Based on star-coordinate matching, a robust weight-tuning rule is designed according to the maximum-likelihood estimation theory, including a method to determine the star-coordinate confidence scope by statistically analysing the astronomical-observation perturbation rate. Compared with the traditional loosely coupled astro-inertial integration framework, the proposed strongly coupled framework and robust astro-inertial integrated navigation algorithm based on star-coordinate matching can significantly improve robustness against perturbations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 71, December 2017, Pages 68-77
Journal: Aerospace Science and Technology - Volume 71, December 2017, Pages 68-77
نویسندگان
Rong Wang, Zhi Xiong, Jianye Liu, Lijuan Shi,