Development of an AOA Location Method Using Covariance Estimation

• 발행기관: 한국항해항만학회
• 저자명: Sung-Ho Lee Gi-Hong Roh Tae-Kyung Sung
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2006년도 International Symposium on GPS/GNSS Vol.1, 1~5쪽, 전체 5쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2006.10.24

영문 초록

In last decades, several linearization methods for the AOA measurements have been proposed, for example, Gauss- Newton method and closed-form solution. Gauss-Newton method can achieve high accuracy, but the convergence of the iterative process is not always ensured if the initial guess is not accurate enough. Closed-form solution provides a non-iterative solution and it is less computational. It does not suffer from convergence problem, but estimation error is somewhat larger. This paper proposes a self-tuning weighted least square AOA algorithm that is a modified version of the conventional closed-form solution. In order to estimate the error covariance matrix as a weight, two-step estimation technique is used. Simulation results show that the proposed method has smaller positioning error compared to the existing methods.

목차

1. Introduction

2. An AOA positioning algorithm using error covariance estimation technique

3. Simulation results

4. Conclusion

키워드

Angle of arrival closed form solution weighted least square