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- Title
Tracking a Low-Angle Isolated Target via an Elevation-Angle Estimation Algorithm Based on Extended Kalman Filter with an Array Antenna.
- Authors
Darvishi, Hossein; Sebt, Mohammad Ali; Ciuonzo, Domenico; Salvo Rossi, Pierluigi
- Abstract
In a low-angle tracking situation, estimating the elevation angle is challenging due to the entrance of the multipath signals in the antenna's main lobe. In this article, we propose two methods based on the extended Kalman filter (EKF) and frequency diversity (FD) process to estimate the elevation angle of a low-angle isolated target. In the first case, a simple weighting of the per-frequency estimates is obtained (termed WFD). Differently, in the second case, a matrix-based elaboration of the per-frequency estimates is proposed (termed MFD). The proposed methods are completely independent of prior knowledge of geometrical information and the physical parameters. The simulation results show that both methods have excellent performance and guarantee accurate elevation angle estimation in different multipath environments and even in very-low SNR conditions. Hence, they are both suitable for low-peak-power radars.
- Subjects
ANTENNA arrays; KALMAN filtering; TRACKING algorithms; DIRECTION of arrival estimation; ALGORITHMS; MULTIPATH channels
- Publication
Remote Sensing, 2021, Vol 13, Issue 19, p3938
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs13193938