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Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor
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Deahwan Hyun (Groung C2 System Project Team, Defense Acquisition Program Adminstration)
HeeByung Yoon (School of Defense Information System, Korea National Defense University)
Vol. 15, No. 1, Page: 51 ~ 64
Keywords
Maneuvering Target Tracking System, GPS, INS, Multiple Model Filter, Fusion Algorithm, Bayes Rule
Abstract
A location tracking sensor such as GPS, INS, Radar, and optical equipments is used in tracking Maneuvering Targets with a multi-sensor, and such systems are used to track, detect, and control UAV, guided missile, and spaceship. Until now, Most of the studies related to tracking Maneuvering Targets are on fusing multiple Radars, or adding a supplementary sensor to INS and GPS. However, A study is required to change the degree of application in fusions since the system property and error property are different from sensors. In this paper, we perform the error analysis of the sensor properties by adding a ground radar to GPS and INS for improving the tracking performance by multi-sensor fusion, and suggest the tracking algorithm that improves the precision and stability by changing the sensor probability of each sensor according to the error. For evaluation, we extract the altitude values in a simulation for the trajectory of UAV and apply the suggested algorithm to carry out the performance analysis. In this study, we change the weight of the evaluated values according to the degree of error between the navigation information of each sensor to improve the precision of navigation information, and made it possible to have a strong tracking which is not affected by external purposed environmental change and disturbance.
Show/Hide Detailed Information in Korean
다중센서 융합 및 다수모델 필터 개념을 적용한 강인한 기동물체 추적
현대환 (방위사업청 지상지휘통제체계사업팀)
윤희병 (국방대학교 국방관리대학원)
Abstract
다중센서를 이용한 기동물체의 추적은 GPS, INS, 레이더 및 광학장비 등의 위치추적 센서가 이용되며, 이러한 시스템은 UAV, 유도미사일, 우주선 등의 추적 탐지 통제를 위해 사용된다. 기동물체의 위치추적과 관련한 대부분의 연구는 다수의 레이더를 융합하거나 INS, GPS에 보조센서 추가하는 것이다. 하지만 이기종의 센서는 각 시스템특성 및 오차특성이 상이하므로 융합 간에 이를 고려하여 반영강도를 달리하는 연구가 필요하다. 본 논문에서는 다중센서 융합에 의한 추적 성능 향상을 위해 GPS, INS에 지상 레이더를 추가하여 각 센서특성에 따른 오차분석을 실시하고, 융합 간 오차특성에 따라 각 센서의 Sensor Probability를 변화시켜 정밀도와 안정성을 향상시키는 추적 알고리즘을 제안한다. 평가를 위해 UAV의 기동모델에 대한 시뮬레이션을 통해 고도값을 추출하고 제안 알고리즘을 적용하여 성능분석을 실시한다. 연구를 통해 각 센서의 항법정보 융합 간에 오차정도에 따라 측정치의 반영강도를 변화시켜 항법정보의 정확도 향상과 외부의 고의적인 환경변화 및 교란에도 강인한 추적이 가능하다.
Cite this article
JIIS Style
Hyun, D., and H. Yoon, "Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor ", Journal of Intelligence and Information Systems, Vol. 15, No. 1 (2009), 51~64.

IEEE Style
Deahwan Hyun, and HeeByung Yoon, "Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor ", Journal of Intelligence and Information Systems, vol. 15, no. 1, pp. 51~64, 2009.

ACM Style
Hyun, D., and Yoon, H., 2009. Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor . Journal of Intelligence and Information Systems. 15, 1, 51--64.
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@article{Hyun:JIIS:2009:358,
author = {Hyun, Deahwan and Yoon, HeeByung},
title = {Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor },
journal = {Journal of Intelligence and Information Systems},
issue_date = {March 2009},
volume = {15},
number = {1},
month = Mar,
year = {2009},
issn = {2288-4866},
pages = {51--64},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Maneuvering Target Tracking System, GPS, INS, Multiple Model Filter, Fusion Algorithm and Bayes Rule },
}
%0 Journal Article
%1 358
%A Deahwan Hyun
%A HeeByung Yoon
%T Robust Maneuvering Target Tracking Applying the Concept of Multiple Model Filter and the Fusion of Multi-Sensor
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 15
%N 1
%P 51-64
%D 2009
%R
%I Korea Intelligent Information System Society