Three-dimensional combined beam dimension reduction space-time adaptive processing method based on beam prior

Abstract

The invention provides a three-dimensional combined beam dimension reduction space-time adaptive processing method based on beam prior. The method comprises the following steps: selecting a proper window according to the change intensity of a ground clutter environment; constructing a two-dimensional spatial domain dimension reduction transformation matrix according to the selected window and the current radar parameters; for each echo signal distance unit, selecting a distance unit adjacent to the echo signal distance unit as a protection unit, and selecting a plurality of distance units outside the protection unit to form an echo signal sample set; performing clutter suppression of each Doppler unit on the distance units, and constructing a complete three-dimensional dimensionality reduction transformation matrix according to the corresponding Doppler units in the suppression process; performing dimension reduction processing on the signal sample set by using the three-dimensional dimension reduction transformation matrix to obtain dimension-reduced echo data; using the echo data after dimension reduction to construct a dimension reduction clutter and noise covariance matrix; calculating an optimal three-dimensional dimension reduction space-time adaptive processing weight, and performing filtering processing on the dimension-reduced echo data by using the weight to complete dimension reduction space-time adaptive processing of all echo signals.

Description

technical field [0001] The present disclosure relates to the technical field of phased array radar, and in particular to a beam prior-based three-dimensional combined beam dimensionality reduction space-time adaptive processing method. Background technique [0002] When the airborne phased array radar works in the side-looking mode, the Doppler frequency of the clutter has a linear relationship with the spatial frequency and does not change with the distance. But when the radar works in the non-front-looking mode, the relationship between the two is nonlinear, and it changes drastically with the distance, which leads to non-stationary clutter [1]. As a widely used airborne radar clutter suppression technology, space-time adaptive processing (STAP) has achieved remarkable results in practical applications. However, the premise of its effective suppression is that there are sufficient independent and identically distributed (IID) distance training samples [2], so the traditio...

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Problems solved by technology

[0012] Based on the above problems, the present disclosure provides a space-time adaptive processing method of three-dimensional combined beam dimensionality reduction based on beam priors, so as to alleviate the need for excessive training samples and excessive computational overhead in the prior art when airborne radar clutter suppression is performed. technical problem

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