Open AccessMulti-clutter Adaptive Suppression of Ball-borne Radar
Author(s) -
Wentao Su,
Runhua Liu,
Rui Wang,
Xiaohan Zhang
Publication year - 2019
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 - 10.1088/1742-6596/1237/4/042043
Subject(s) - clutter , constant false alarm rate , stationary target indication , radar , computer science , radar horizon , moving target indication , continuous wave radar , remote sensing , algorithm , artificial intelligence , radar imaging , geology , telecommunications
Compared with conventional radar, the ball-borne radar faces a special clutter environment. Because the irregular moving ground clutter of the platform is no longer fixed but has unknown spectral characteristics as the cloud rain clutter, it faces multiple unknown mixed clutter. It is not possible to filter ground clutter and then suppress motion clutter like a conventional radar. In this paper, the eigenvector method that can suppress multiple clutter at the same time is used to construct the filter, and the correlation function method is used to estimate the spectral characteristics of the clutter to achieve adaptive clutter suppression. Firstly, the calculation method of filter weight vector is discussed theoretically. Aimed at the problem that the performance of the method is deteriorating when suppressing multiple clutter with different spectral characteristics, the method is improved and its performance superiority is analyzed. The theory of multi-clutter estimation is deduced. For the problem of large spectral width deviation, the bandwidth coverage method is proposed to reduce the influence of error.