한국항해항만학회:학술대회논문집 (Proceedings of the Korean Institute of Navigation and Port Research Conference)
- 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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- Pages.485-489
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- 2006
Development of an AOA Location Method Using Covariance Estimation
- Lee, Sung-Ho (Dept. of Information and Communication Engr., Chungnam Nat’l Univ.) ;
- Roh, Gi-Hong (Dept. of Information and Communication Engr., Chungnam Nat’l Univ.) ;
- Sung, Tae-Kyung (Faculty of Electric and Computer Engr., Chungnam Nat’l Univ.)
- 발행 : 2006.10.18
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.