Direction of Arrival Estimation Using the Extended Kalman Filter
Ferid Harabi, Hatem Changuel, Ali Gharsallah · 2007
Abstract: The technique for estimating the parameters of multiple waves provides a convenient tool for the analysis of multiple-waves fields and eventually for actual applications to mobile communications. Based on the extended Kalman filter (EKF), we analyze a recursive procedure for 2-dimensional directions of arrival (DOA) estimation and we will employ the two-L-shape arrays. A new space-variable model which we call a spatial state equation is presented using array element locations and incident angles. In this paper we briefly recapitulate the most important features of the extended Kalman filter (EKF). The performance of the proposed approach is examined by a simulation study with three signals model. The simulation results show a good estimate performance. Key words: elevation angles, azimuth angles, spatial state equation, extended Kalman filter.