Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Research on Tracking and Prediction Technology of Near Space Target
LI Jun-long, ZHOU Di, WANG Guan, CHEN Xiao-bo, QIN Lei
Modern Defense Technology    2021, 49 (3): 1-12.   DOI: 10.3969/j.issn.1009-086x.2021.03.001
Abstract515)      PDF (6039KB)(1171)       Save
With the rapid development of near space hypersonic vehicle,tracking and prediction technology of near space target has attracted wide attention.The main tracking and prediction technologies of near space target are discussed,such as the model of near space hypersonic maneuvering target,the design method of multi-model filter,the trajectory prediction method of near space hypersonic maneuvering target,etc.The main problems of existing methods are pointed out,and the main research directions are given.
Reference | Related Articles | Metrics
An Real-time Estimation Algorithm for Slope Error of Radome of Radar Seeker
ZHOU Di, LI Jun-long, YUAN Yu-qi
Modern Defense Technology    2020, 48 (5): 1-9.   DOI: 10.3969/j.issn.1009-086x.2020.05.001
Abstract3521)      PDF (2489KB)(1433)       Save
Firstly, a complete mathematical description of target missile relative motion problem, which consider the slope error of seeker radome is established,including nonlinear state equation and measurement equation.Secondly,the simplified mathematical model of target missile relative motion considering radome error slope in the elevation channel isgiven,and the mathematical model of joint estimation of line-of-sight rate and radome error slope in the elevation channel is derived.The observability of the joint observation system of line-of-sight rate and radome error slope corresponding to the above mathematical model is proved.Finally,an extended Kalman filter is designed to estimate the line-of-sight rate and radome error slope in the elevation loop and azimuth loop,respectively.The filters are applied in the simulation experiments and compared with the Kalman filter of line-of-sight rate estimation without considering the error slope of radome.The simulation results show that the extended Kalman filter with joint estimation of line-of-sight rate and radome error slope is effective,since it can significantly improve the guidance accuracy of a guidance system with radome error slope.
Reference | Related Articles | Metrics