메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Se Phil Song (Chungnam National University) Heon Ho Choi (Chungnam National University) Young-Baek Kim (Hanyang Navicom Co.) Sang Jeong Lee (Chungnam National University) Chansik Park (Chungbuk National University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2011
발행연도
2011.10
수록면
1,620 - 1,624 (5page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
eLoran is an enhanced Loran-C which uses TOA measurements and improves navigation accuracy. TOA measurements of eLoran include some kinds of error factors and eLoran navigation algorithm can fail estimation of precise position due to these error factors. Therefore, in order to improve navigation performance of eLoran, all error factors of TOA measurements must be compensated. But compensation of some biases like ASF, clock bias and unknown biases are so difficult and requiring large memory, while PF or SF can be easily calculated. Therefore, this paper proposes GPS aided error compensation method. GPS aided error compensation method is using true range that calculated with receiver position and eLoran station using GPS solution. Proposed method can compensate all error factors simply included in TOA measurements of eLoran. In this paper, raw measurements measured in Europe are used to verify proposed method and navigation algorithm. This raw data is compensated with calculated errors using combination of typical or proposed method.

목차

Abstract
1. INTRODUCTION
2. ELORAN COMPENSATION METHODS
3. NAVIGATION RESULTS USINGRAW-DATAS OF ELORAN TOA
4. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-569-000915321