An estimation approach based on predictive filtering to missile guidance

Yuanyun Song; Wanchun Chen; Xingliang Yin

doi:10.4028/www.scientific.net/AMR.383-390.38

An estimation approach based on predictive filtering to missile guidance

Yuanyun Song^*
, Wanchun Chen
, Xingliang Yin

^*Corresponding author for this work

School of Astronautics

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An approach for estimation to states of missile guidance based on predictive filtering is derived for the measurement process with high and low frequency noise. Analyze the influence of various noises on miss distance. Comparing with the extended Kalman filter, the simulation results indicate that this new method is able to improve accuracy of the guidance system with less estimation error.

Original language	English
Title of host publication	Manufacturing Science and Technology
Pages	38-44
Number of pages	7
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.383-390.38
State	Published - 2012
Event	2011 International Conference on Manufacturing Science and Technology, ICMST 2011 - Singapore, Singapore Duration: 16 Sep 2011 → 18 Sep 2011

Publication series

Name	Advanced Materials Research
Volume	383-390
ISSN (Print)	1022-6680

Conference

Conference	2011 International Conference on Manufacturing Science and Technology, ICMST 2011
Country/Territory	Singapore
City	Singapore
Period	16/09/11 → 18/09/11

Keywords

Filter
Guidance
Kalman filter
Missile
Predictive filtering

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10.4028/www.scientific.net/AMR.383-390.38

Cite this

@inproceedings{4aefaf76f13b4a1cb1e2420c6cd30bbc,

title = "An estimation approach based on predictive filtering to missile guidance",

abstract = "An approach for estimation to states of missile guidance based on predictive filtering is derived for the measurement process with high and low frequency noise. Analyze the influence of various noises on miss distance. Comparing with the extended Kalman filter, the simulation results indicate that this new method is able to improve accuracy of the guidance system with less estimation error.",

keywords = "Filter, Guidance, Kalman filter, Missile, Predictive filtering",

author = "Yuanyun Song and Wanchun Chen and Xingliang Yin",

year = "2012",

doi = "10.4028/www.scientific.net/AMR.383-390.38",

language = "英语",

isbn = "9783037852958",

series = "Advanced Materials Research",

pages = "38--44",

booktitle = "Manufacturing Science and Technology",

note = "2011 International Conference on Manufacturing Science and Technology, ICMST 2011 ; Conference date: 16-09-2011 Through 18-09-2011",

}

Song, Y, Chen, W & Yin, X 2012, An estimation approach based on predictive filtering to missile guidance. in Manufacturing Science and Technology. Advanced Materials Research, vol. 383-390, pp. 38-44, 2011 International Conference on Manufacturing Science and Technology, ICMST 2011, Singapore, Singapore, 16/09/11. https://doi.org/10.4028/www.scientific.net/AMR.383-390.38

TY - GEN

T1 - An estimation approach based on predictive filtering to missile guidance

AU - Song, Yuanyun

AU - Chen, Wanchun

AU - Yin, Xingliang

PY - 2012

Y1 - 2012

N2 - An approach for estimation to states of missile guidance based on predictive filtering is derived for the measurement process with high and low frequency noise. Analyze the influence of various noises on miss distance. Comparing with the extended Kalman filter, the simulation results indicate that this new method is able to improve accuracy of the guidance system with less estimation error.

AB - An approach for estimation to states of missile guidance based on predictive filtering is derived for the measurement process with high and low frequency noise. Analyze the influence of various noises on miss distance. Comparing with the extended Kalman filter, the simulation results indicate that this new method is able to improve accuracy of the guidance system with less estimation error.

KW - Filter

KW - Guidance

KW - Kalman filter

KW - Missile

KW - Predictive filtering

UR - https://www.scopus.com/pages/publications/83755171500

U2 - 10.4028/www.scientific.net/AMR.383-390.38

DO - 10.4028/www.scientific.net/AMR.383-390.38

M3 - 会议稿件

AN - SCOPUS:83755171500

SN - 9783037852958

T3 - Advanced Materials Research

SP - 38

EP - 44

BT - Manufacturing Science and Technology

T2 - 2011 International Conference on Manufacturing Science and Technology, ICMST 2011

Y2 - 16 September 2011 through 18 September 2011

ER -

An estimation approach based on predictive filtering to missile guidance

Abstract

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Conference

Keywords

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