Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile

Yongshan Liu; Li Song; Jinglong Li

doi:10.1051/matecconf/201821403008

Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile

Yongshan Liu, Li Song, Jinglong Li

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Strapdown seekers are superior to platform seekers for their simple structure, high reliability and light weight but cannot measure the line-of-sight angle rate information for the guidance of rotation missile directly. This paper aims at the engineering application of full-strapdown seekers on rotation missile problem. Firstly, a line-of-sight angle rate solution model is established. Based on the MATLAB, the extended Kalman filter (EKF) algorithm and unscented Kalman filter (UKF) algorithm are used to estimate the line-of-sight angle rate information of the full-strapdown seekers. The results show that using EKF filter and UKF filter both can obtain effective guidance information and the UKF's effect is better.

Original language	English
Article number	03008
Journal	MATEC Web of Conferences
Volume	214
DOIs	https://doi.org/10.1051/matecconf/201821403008
Publication status	Published - 15 Oct 2018
Event	2nd International Conference on Information Processing and Control Engineering, ICIPCE 2018 - Shanghai, China Duration: 27 Jul 2018 → 29 Jul 2018

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10.1051/matecconf/201821403008

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@article{b21256781ac0425faaa738f0d5312e05,

title = "Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile",

abstract = "Strapdown seekers are superior to platform seekers for their simple structure, high reliability and light weight but cannot measure the line-of-sight angle rate information for the guidance of rotation missile directly. This paper aims at the engineering application of full-strapdown seekers on rotation missile problem. Firstly, a line-of-sight angle rate solution model is established. Based on the MATLAB, the extended Kalman filter (EKF) algorithm and unscented Kalman filter (UKF) algorithm are used to estimate the line-of-sight angle rate information of the full-strapdown seekers. The results show that using EKF filter and UKF filter both can obtain effective guidance information and the UKF's effect is better.",

author = "Yongshan Liu and Li Song and Jinglong Li",

note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences, 2018.; 2nd International Conference on Information Processing and Control Engineering, ICIPCE 2018 ; Conference date: 27-07-2018 Through 29-07-2018",

year = "2018",

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day = "15",

doi = "10.1051/matecconf/201821403008",

language = "English",

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journal = "MATEC Web of Conferences",

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TY - JOUR

T1 - Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile

AU - Liu, Yongshan

AU - Song, Li

AU - Li, Jinglong

N1 - Publisher Copyright: © The Authors, published by EDP Sciences, 2018.

PY - 2018/10/15

Y1 - 2018/10/15

N2 - Strapdown seekers are superior to platform seekers for their simple structure, high reliability and light weight but cannot measure the line-of-sight angle rate information for the guidance of rotation missile directly. This paper aims at the engineering application of full-strapdown seekers on rotation missile problem. Firstly, a line-of-sight angle rate solution model is established. Based on the MATLAB, the extended Kalman filter (EKF) algorithm and unscented Kalman filter (UKF) algorithm are used to estimate the line-of-sight angle rate information of the full-strapdown seekers. The results show that using EKF filter and UKF filter both can obtain effective guidance information and the UKF's effect is better.

AB - Strapdown seekers are superior to platform seekers for their simple structure, high reliability and light weight but cannot measure the line-of-sight angle rate information for the guidance of rotation missile directly. This paper aims at the engineering application of full-strapdown seekers on rotation missile problem. Firstly, a line-of-sight angle rate solution model is established. Based on the MATLAB, the extended Kalman filter (EKF) algorithm and unscented Kalman filter (UKF) algorithm are used to estimate the line-of-sight angle rate information of the full-strapdown seekers. The results show that using EKF filter and UKF filter both can obtain effective guidance information and the UKF's effect is better.

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U2 - 10.1051/matecconf/201821403008

DO - 10.1051/matecconf/201821403008

M3 - Conference article

AN - SCOPUS:85059026883

SN - 2261-236X

VL - 214

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 03008

T2 - 2nd International Conference on Information Processing and Control Engineering, ICIPCE 2018

Y2 - 27 July 2018 through 29 July 2018

ER -

Extraction and Filter Algorithm of Guidance Information for Full-strapdown Seeker on Rotation Missile

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