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
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;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279344
