کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1717998 1520095 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multirate multisensor data fusion for linear systems using Kalman filters and a neural network
ترجمه فارسی عنوان
تلفیق داده چندتایی چندگانه برای سیستم های خطی با استفاده از فیلتر های کالمن و یک شبکه عصبی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی

In this paper the data fusion problem for asynchronous, multirate, multisensor linear systems is studied. The linear system is observed by multiple sensor systems, each having a different sampling rate. Under the assumption that the state space model is known at the scale of the highest time resolution sensor system, and that there is a known mathematical relationship between the sampling rates, a comprehensive state space model that includes all sensor systems is presented. The state vector is estimated with a neural network that fuses the outputs of multiple Kalman filters, one filter for each sensor system. The state estimate is shown to perform better than other data fusion approaches due to the new neural network based sensor fusion approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 39, December 2014, Pages 465–471
نویسندگان
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