Missile radome error compensation using modified interacting multiple model Kalman filter

Seul Ki Han; Sejoon Ahn; Won Sang Ra; Jin Bae Park

doi:10.1109/ICCAS.2014.6988028

Missile radome error compensation using modified interacting multiple model Kalman filter

Seul Ki Han, Sejoon Ahn, Won Sang Ra, Jin Bae Park

Department of Electrical and Electronic Engineering

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

4 Citations (Scopus)

Abstract

This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation by reflecting the recent tendency of the radome slope hypotheses. This is enabled by utilizing the new weighting function including previous information of likelihood function and mode probability during certain period. Besides, by designating boresight error and LOS rate as the state for the system model, the linear estimation technique is used instead of the nonlinear estimation method. Therefore, the proposed method is suitable for the real-time implementation due to the linear filter structure. Through the simulation results on the typical engagement missile-target scenario, the reliability and performance of the proposed radome slope estimator is evaluated.

Original language	English
Title of host publication	International Conference on Control, Automation and Systems
Publisher	IEEE Computer Society
Pages	391-395
Number of pages	5
ISBN (Electronic)	9788993215069
DOIs	https://doi.org/10.1109/ICCAS.2014.6988028
Publication status	Published - 2014 Dec 16
Event	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of Duration: 2014 Oct 22 → 2014 Oct 25

Publication series

Name	International Conference on Control, Automation and Systems
ISSN (Print)	1598-7833

Other

Other	2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
Country/Territory	Korea, Republic of
City	Gyeonggi-do
Period	14/10/22 → 14/10/25

Bibliographical note

Publisher Copyright:
© 2014 Institute of Control, Robotics and Systems (ICROS).

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2014.6988028

Cite this

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title = "Missile radome error compensation using modified interacting multiple model Kalman filter",

abstract = "This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation by reflecting the recent tendency of the radome slope hypotheses. This is enabled by utilizing the new weighting function including previous information of likelihood function and mode probability during certain period. Besides, by designating boresight error and LOS rate as the state for the system model, the linear estimation technique is used instead of the nonlinear estimation method. Therefore, the proposed method is suitable for the real-time implementation due to the linear filter structure. Through the simulation results on the typical engagement missile-target scenario, the reliability and performance of the proposed radome slope estimator is evaluated.",

keywords = "Missile guidance, interacting multiple model (IMM) algorithm, radome aberration error",

author = "Han, {Seul Ki} and Sejoon Ahn and Ra, {Won Sang} and Park, {Jin Bae}",

note = "Publisher Copyright: {\textcopyright} 2014 Institute of Control, Robotics and Systems (ICROS).; 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 ; Conference date: 22-10-2014 Through 25-10-2014",

year = "2014",

month = dec,

day = "16",

doi = "10.1109/ICCAS.2014.6988028",

language = "English",

series = "International Conference on Control, Automation and Systems",

publisher = "IEEE Computer Society",

pages = "391--395",

booktitle = "International Conference on Control, Automation and Systems",

address = "United States",

}

Han, SK, Ahn, S, Ra, WS & Park, JB 2014, Missile radome error compensation using modified interacting multiple model Kalman filter. in International Conference on Control, Automation and Systems., 6988028, International Conference on Control, Automation and Systems, IEEE Computer Society, pp. 391-395, 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014, Gyeonggi-do, Korea, Republic of, 14/10/22. https://doi.org/10.1109/ICCAS.2014.6988028

Missile radome error compensation using modified interacting multiple model Kalman filter. / Han, Seul Ki; Ahn, Sejoon; Ra, Won Sang et al.
International Conference on Control, Automation and Systems. IEEE Computer Society, 2014. p. 391-395 6988028 (International Conference on Control, Automation and Systems).

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

TY - GEN

T1 - Missile radome error compensation using modified interacting multiple model Kalman filter

AU - Han, Seul Ki

AU - Ahn, Sejoon

AU - Ra, Won Sang

AU - Park, Jin Bae

PY - 2014/12/16

Y1 - 2014/12/16

N2 - This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation by reflecting the recent tendency of the radome slope hypotheses. This is enabled by utilizing the new weighting function including previous information of likelihood function and mode probability during certain period. Besides, by designating boresight error and LOS rate as the state for the system model, the linear estimation technique is used instead of the nonlinear estimation method. Therefore, the proposed method is suitable for the real-time implementation due to the linear filter structure. Through the simulation results on the typical engagement missile-target scenario, the reliability and performance of the proposed radome slope estimator is evaluated.

AB - This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation by reflecting the recent tendency of the radome slope hypotheses. This is enabled by utilizing the new weighting function including previous information of likelihood function and mode probability during certain period. Besides, by designating boresight error and LOS rate as the state for the system model, the linear estimation technique is used instead of the nonlinear estimation method. Therefore, the proposed method is suitable for the real-time implementation due to the linear filter structure. Through the simulation results on the typical engagement missile-target scenario, the reliability and performance of the proposed radome slope estimator is evaluated.

KW - Missile guidance

KW - interacting multiple model (IMM) algorithm

KW - radome aberration error

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M3 - Conference contribution

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BT - International Conference on Control, Automation and Systems

PB - IEEE Computer Society

T2 - 2014 14th International Conference on Control, Automation and Systems, ICCAS 2014

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ER -

Missile radome error compensation using modified interacting multiple model Kalman filter

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