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.
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Yu, J., Gu, L., Le, D., Wei, Y., Huang, Q. (2021). A New Altitude Estimation Algorithm for 3D Surveillance Radar. In: Liang, Q., Wang, W., Liu, X., Na, Z., Li, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2020. Lecture Notes in Electrical Engineering, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-15-8411-4_78
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DOI: https://doi.org/10.1007/978-981-15-8411-4_78
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