Development of an AOA Location Method Using Covariance Estimation

다국어 초록 (Multilingual Abstract)

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 (Table of Contents)

• 1. Introduction
• 2. An AOA positioning algorithm using error covariance estimation technique
• 3. Simulation results
• 4. Conclusion