Knowledge assistance-based SR-STAP method and storage medium

Abstract

The invention discloses a knowledge assistance-based SR-STAP method and a storage medium. The method comprises the steps of obtaining sample data of a to-be-detected distance unit through an airborne radar; uniformly dispersing the space frequency of the clutter into a grid point set; obtaining a discrete Doppler frequency grid point set of the clutter; adjusting the Doppler frequency based on a preset condition to obtain a new Doppler frequency group; adjusting the spatial frequency to obtain a new discretized spatial frequency group; constructing a space-time steering vector dictionary according to the new Doppler frequency group and the space-time steering vector corresponding to the new discretized spatial frequency group; performing sparse decomposition on sample data by using the space-time steering vector dictionary to obtain a sparse recovery vector; and carrying out clutter covariance matrix estimation by using the sparse recovery vector. According to the method, the spatial frequency and the Doppler frequency are jointly adjusted, the over-complete space-time steering vector dictionary is constructed, the problem of grid mismatch is effectively solved, and the performance of the STAP method is improved.

Description

technical field [0001] The invention relates to the technical field of airborne radar, in particular to a knowledge-assisted SR-STAP method and a storage medium. Background technique [0002] Airborne radar has a superior ability to detect moving targets, and is of great application value in military and civilian fields. However, the airborne radar is in a downward-looking working state, and the clutter intensity in the received signal is relatively high. In addition, due to the movement of the carrier aircraft, the distribution range of the clutter becomes wider and the intensity increases. At the same time, due to the influence of factors such as terrain changes, electromagnetic interference, and system errors, the clutter presents an obvious non-uniform distribution, which seriously affects the radar's target detection capability. In order to solve the above problems, effectively suppress clutter, and improve the target detection capability of airborne radar, scholars h...

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Problems solved by technology

[0005] In view of the above-mentioned technical problems existing in the prior art, an embodiment of the present invention provides a knowledge-assisted SR-STAP method, which can solve the problem that the existing SR-STAP method is not conducive to clutter suppression and moving target detection, and the existing SR-STAP method based on The knowledge-assisted dictionary correction method does not improve the off-grid effect comprehensively, and the performance improvement of STAP is not high enough.

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