کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
721654 | 1461244 | 2012 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved particle filter based on fine resampling algorithm
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی برق و الکترونیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In order to solve particle degeneracy phenomenon and simultaneously avoid sample impoverishment, this paper proposed an improved particle filter based on fine resampling algorithm for general case, called as particle filter with fine resampling (PF-FR). By introducing distance-comparing process and generating new particle based on optimized combination scheme, PF-FR filter performs better than generic sampling importance resampling particle filter (PF-SIR) both in terms of effectiveness and diversity of the particle system, hence, evidently improving estimation accuracy of the state in the nonlinear/non-Gaussian models. Simulations indicate that the proposed PF-FR algorithm can maintain the diversity of particles and thus achieve the same estimation accuracy with less number of particles. Consequently, PF-FR filter is a competitive choice in the applications of nonlinear state estimation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of China Universities of Posts and Telecommunications - Volume 19, Issue 2, April 2012, Pages 100-106, 115
Journal: The Journal of China Universities of Posts and Telecommunications - Volume 19, Issue 2, April 2012, Pages 100-106, 115
نویسندگان
Bei CAO, Cai-wen MA, Zhen-tao LIU,