This paper proposes the H∞ norm based data association gate method to apply robustly the data association gate of passive sonar automatic target tracking which is on non-linear targets in dense cluttered environment. For target tracking, data as...
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https://www.riss.kr/link?id=A107394655
김성원 (국방과학연구소 소나체계개발단) ; 권택익 (국방과학연구소) ; 조현덕 (국방과학연구소) ; Kim, Seong-Weon ; Kwon, Taek-Ik ; Cho, Hyeon-Deok
2021
Korean
KCI등재,SCOPUS,ESCI
학술저널
109-120(12쪽)
0
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
This paper proposes the H∞ norm based data association gate method to apply robustly the data association gate of passive sonar automatic target tracking which is on non-linear targets in dense cluttered environment. For target tracking, data as...
This paper proposes the H∞ norm based data association gate method to apply robustly the data association gate of passive sonar automatic target tracking which is on non-linear targets in dense cluttered environment. For target tracking, data association method selects the measurements within validated gate, which means validated measuring extent, as candidates for the data association. If the extent of the validated gate in the data association is not proper or the data association executes under dense cluttered environment, it is difficult to maintain the robustness of target tracking due to interference of clutter measurements. To resolve this problem, this paper proposes a novel gating method which applies H∞ norm based bisection algorithm combined with 3-σ gate method under Gaussian distribution assumption and tracking error covariance. The proposed method leads to alleviate the interference of clutters and to track the non-linear maneuvering target robustly. Through analytic method and simulation to utilize simulated data of horizontal and vertical bearing measurements, improvement of data association robustness is confirmed contrary to the conventional method.
참고문헌 (Reference)
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1 A. F. Tchango, "Tracking multiple interacting targets using a joint probabilistic data association filter" 1-8, 2014
2 X. R. Li, "Tracking in clutter with strongest neighbor measurements-part I: theoretical analysis" 43 : 1560-1578, 1998
3 X. R. Li, "Tracking in clutter with nearest neighbor filters: analysis and performance" 32 : 995-1010, 1996
4 Y. Bar-Shalom, "Tracking and Data Association" Academic Press 1983
5 J. C. Doyle, "State-space solutions to standard H2 and H∞control problems" 34 : 831-847, 1989
6 A. Jameson, "Solution of equation AX + XB = C by inversion of an M x M or N x N matrix" 16 : 1020-1023, 1968
7 T. Kirubarajan, "Probabilistic data association techniques for target tracking in clutter" 92 : 536-557, 2004
8 B. N. Datta, "Numerical Methods in Linear Control Systems : Design and Analysis" Elsevier Academic Press 2004
9 N. J. Gordon, "Novel approach to nonlinear/non-Gaussian Bayesian state estimation" 140 : 107-113, 1993
10 S. S. Blackman, "Multiple-Target Tracking with Radar Applications" Artech House 1986
11 B. Hassibi, "Linear estimation in Krein spaces – Part I: Theory" 41 : 18-33, 1996
12 T. L. Song, "Iterated joint integrated probabilistic data association for multitarget tracking" 51 : 642-653, 2015
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16 Q. C. Wang, "H-infinity filter based particle filter for maneuvering target tracking" 30 : 103-116, 2011
17 Y. Bar-Shalom, "Estimation and Tracking : Principles, Techniques and Software" Artech House 1993
18 S. W. Kim, "Data association method based on target signal feature for robust active sonar target tracking" 779-780, 2014
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20 B. Ristic, "Beyond the Kalman Filter : Particle Filters for Tracking Applications" Artech House 2004
21 L. D. Stone, "Bayesian Multiple Target Tracking" Artech House 1999
22 T. L. Song, "A probabilistic strongest neighbor filter algorithm for m validated measurements" 45 : 431-442, 2009
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향상된 초기화 구조를 이용한 측면주사소나 영상 초해상도 영상복원
평균-교사 합성곱 순환 신경망 모델을 이용한 약지도 음향 이벤트 검출 시스템의 성능 분석
학술지 이력
연월일 | 이력구분 | 이력상세 | 등재구분 |
---|---|---|---|
2026 | 평가예정 | 재인증평가 신청대상 (재인증) | |
2020-01-01 | 평가 | 등재학술지 유지 (재인증) | |
2017-01-01 | 평가 | 등재학술지 유지 (계속평가) | |
2013-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2010-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2008-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2006-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2004-01-01 | 평가 | 등재학술지 유지 (등재유지) | |
2001-07-01 | 평가 | 등재학술지 선정 (등재후보2차) | |
1999-01-01 | 평가 | 등재후보학술지 선정 (신규평가) |
학술지 인용정보
기준연도 | WOS-KCI 통합IF(2년) | KCIF(2년) | KCIF(3년) |
---|---|---|---|
2016 | 0.23 | 0.23 | 0.22 |
KCIF(4년) | KCIF(5년) | 중심성지수(3년) | 즉시성지수 |
0.2 | 0.18 | 0.398 | 0.07 |