Open AccessMono-pulse radar angle estimation algorithm under low signal-to-noise ratio
Author(s) -
Wenhao Dong,
Jingyi Wang,
Zhiyong Song
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1914/1/012042
Subject(s) - radar , estimator , algorithm , pulse repetition frequency , signal (programming language) , signal to noise ratio (imaging) , computer science , noise (video) , computer vision , mathematics , telecommunications , statistics , image (mathematics) , programming language
In the case of low signal-to-noise ratio (SNR), in order to improve the angle measurement accuracy of the mono-pulse radar seeker, a target angle estimation algorithm is proposed. The algorithm takes the target angle as a state variable under the Bayesian framework, expands it to the state vector, performs state modeling and observation modeling on it, and builds a particle-based eye angle estimator, which improves the target angle estimation performance. The effectiveness of the algorithm is verified by the simulation data of the medium pulse repetition frequency radar seeker.