Abstract
This letter addresses the problem of unmanned aerial vehicles (UAVs)-based localization for a directional emitter with unknown position and transmission orientation. We propose an efficient three-step alternating estimator with iteratively reweighted least square (TA-IRLS). Based on linearized measurement models, the initial estimation of emitter position and orientation are obtained using low-complexity least squares (LS) approaches. To further enhance localization accuracy, IRLS is employed to refine measurement weights based on estimation residuals. Numerical results validate the superiority of the proposed TA-IRLS in terms of both localization efficiency and accuracy.