Missile radome error compensation using modified interacting multiple model Kalman filter

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages391-395
Number of pages5
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

Fingerprint

Radomes
Error compensation
Missiles
Kalman filters
Aberrations

All Science Journal Classification (ASJC) codes

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

Cite this

Han, S. K., Ahn, S., Ra, W. S., & Park, J. B. (2014). Missile radome error compensation using modified interacting multiple model Kalman filter. In International Conference on Control, Automation and Systems (pp. 391-395). [6988028] IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6988028
Han, Seul Ki ; Ahn, Sejoon ; Ra, Won Sang ; Park, Jin Bae. / Missile radome error compensation using modified interacting multiple model Kalman filter. International Conference on Control, Automation and Systems. IEEE Computer Society, 2014. pp. 391-395
@inproceedings{8ed2597a081f489c9e0dd696d9bbbb31,
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.",
author = "Han, {Seul Ki} and Sejoon Ahn and Ra, {Won Sang} and Park, {Jin Bae}",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/ICCAS.2014.6988028",
language = "English",
pages = "391--395",
booktitle = "International Conference on Control, Automation and Systems",
publisher = "IEEE Computer Society",
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, 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; Park, Jin Bae.

International Conference on Control, Automation and Systems. IEEE Computer Society, 2014. p. 391-395 6988028.

Research output: Chapter in Book/Report/Conference proceedingConference 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 - 2014/1/1

Y1 - 2014/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=84920122975&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84920122975&partnerID=8YFLogxK

U2 - 10.1109/ICCAS.2014.6988028

DO - 10.1109/ICCAS.2014.6988028

M3 - Conference contribution

SP - 391

EP - 395

BT - International Conference on Control, Automation and Systems

PB - IEEE Computer Society

ER -

Han SK, Ahn S, Ra WS, Park JB. Missile radome error compensation using modified interacting multiple model Kalman filter. In International Conference on Control, Automation and Systems. IEEE Computer Society. 2014. p. 391-395. 6988028 https://doi.org/10.1109/ICCAS.2014.6988028