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Erschienen in:
2021 | OriginalPaper | Buchkapitel
A New Altitude Estimation Algorithm for 3D Surveillance Radar
verfasst von : Jianguo Yu, Lei Gu, Dan Le, Yao Wei, Qiang Huang
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
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Abstract
This paper proposes an adaptive altitude estimation (AE) algorithm to improve the 3D surveillance radar’s accuracy. Firstly, the altitude measurement error is derived by the radar’s measurement error matrix theoretically. Then, we design multiple models (MM) for altitude estimation, which both contain maneuvering and constant velocity (CV) models working parallel. The proposed AE algorithm adaptive chooses the optimal result by comprehensively using Kalman filter’s residual and altitude velocity with limited sliding window data. The performance of the proposed AE algorithm is evaluated via simulations of two tracking scenarios. Experiment results show that the proposed AE algorithm may greatly improve accuracy performance of altitude estimation under different scenarios.