کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5472797 1520067 2017 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
State dependent multiple model-based particle filtering for ballistic missile tracking in a low-observable environment
ترجمه فارسی عنوان
فیلترینگ ذرات مبتنی بر چند متغیر وابسته به دولت برای ردیابی موشک های بالستیک در یک محیط کم قابل مشاهده است
کلمات کلیدی
مدل چندگانه، وابسته به دولت، مجموعه محدود تصادفی، شناسایی خانم، هشدار غلط، فیلتر ذرات،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی
This paper proposes a new method for tracking the whole trajectory of a ballistic missile (BM), in a low-observable environment with 'imperfect' sensor measurement incorporating both miss detection and false alarms. A hybrid system with state dependent transition probabilities is proposed where multiple state models represent the ballistic missile movement during different phases; and domain knowledge is exploited to model the transition probabilities between different flight phases in a state-dependent way. The random finite set (RFS) is adopted to model radar sensor measurements which include both miss detection and false alarms. Based on the proposed hybrid modeling system and the RFS represented sensor measurements, a state dependent interacting multiple model particle filtering method integrated with a generalized measurement likelihood function is developed for the BM tracking. Comprehensive simulation studies show that the proposed method outperforms the traditional ones for the BM tracking, with more accurate estimations of flight mode probabilities, positions and velocities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 67, August 2017, Pages 144-154
نویسندگان
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