DocumentCode
406209
Title
The reliability analysis of ballistic estimating with position and velocity data fusi
Author
ZhuanMin, Zhu ; QinKe, Peng ; Yikang, Yang ; Yongxuan, Huang
Author_Institution
Inst. of Syst. Eng., Xi´´an Jiaotong Univ., China
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
597
Abstract
Based on the Kalman filter, the paper discussed the factors of influence on robust and estimate accuracy when rebuilt the ballistic, and demonstrated the velocity data function in rebuilt the ballistic strictly. The analysis and simulation demonstrates that using the velocity and position data simultaneously is the basic way to improve the system´s steady and data quality.
Keywords
Kalman filters; ballistics; position measurement; reliability; velocity measurement; Kalman filter; ballistics; position data fusi; reliability analysis; velocity data function; velocity data fusi; Acceleration; Analytical models; Data engineering; Data processing; Equations; Filters; Noise measurement; Radar tracking; State estimation; Stochastic resonance;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279344
Filename
1279344
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