In passive bearing-only localization of onboard mono-station, if abnormal error existed in observed value, using extended Kalman filter (EKF) algorithm can lead to biased results. For enhance the robustness of the algorithm, to construct robustness equivalent gain matrix on the basis of standardized predicted residual, and apply the robustness EKF algorithm to passive bearing-only localization of onboard mono-station. According to the characteristics of inefficient robustness EKF algorithm, combined with F distribution statistics, propose the mono-station passive location algorithm based on the improved extended Kalman filtering, and by adding single abnormal error and continuous abnormal error in observed value, test the resistant ability of algorithm to different abnormal errors. Simulation shows that the proposed algorithm can weaken the influence of abnormal error on position estimation, and can improve the efficiency of positioning based on F distribution discriminant algorithm.
목차
Abstract 1. Introduction 2. Passive Bearing-only Localization Model of Onboard Mono-station 3. Robustness Extended Kalman Filtering Algorithm 3.1. Robustness EKF Filtering Algorithm 3.2. Robustness EKF Algorithm based on F Distribution Discrimination 4. Simulated Analysis 4.1. Simulated Parameter Setting 4.2. Results and Analysis 5. Conclusion References
키워드
Passive locationRobustness EKF filteringF distribution discriminationLocation accuracy
저자
Zhu Da-li [ Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China ]
Shao Jing [ Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China ]
Jin Hao [ Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China ]
Yang Ying [ Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China ]
보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Future Generation Communication and Networking
간기
격월간
pISSN
2233-7857
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.9 No.11