Method for detecting air mobile target based on single reconstruction and time sampling

Abstract

The invention discloses a method for detecting an air mobile target based on single construction and time sampling. The method comprises the following steps of: 1) performing clutter suppression on total echo data which are received by an airbone early warning radar; 2) estimating target echo amplitude; 3) determining the two-dimensional searching range of target parameters; and 4) sampling reconstruction time of multi-array element data, and constructing a cost function to obtain the estimation results of the target parameters. According to the method, multi-array element data which are subjected to clutter suppression are subjected to reconstruction time sampling, namely pulse points of each array element are increased, a single array element is constructed simultaneously, the target signals of the pulse points are increased directly, two groups of data are matched by a nonlinear least square method, and the target parameters are estimated by calculating the minimum 'quadratic sum' distance. By the method, the accurate estimation results can be obtained under the condition of limited pulse points.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to an air maneuvering target detection method based on reconstructed signals and time sampling. Background technique [0002] Due to the movement of the airborne platform, the ground clutter spectrum of the airborne phased array radar shows main clutter broadening and sidelobe clutter diffusion on Doppler, and is two-dimensionally coupled in space and time, so clutter suppression is a key factor in the clutter suppression. The key problem when the airborne early warning radar works under the view. Space-Time Adaptive Processing (STAP), as an effective ground-clutter suppression method for airborne radars, has received more and more attention. It is a two-dimensional joint filtering in space and time, and has both spatial and temporal degrees of freedom. It can form a notch on the two-dimensional spectral plane, which can effectively suppress ground clutt...

AI Technical Summary

Problems solved by technology

When the pulse repetition frequency of the airborne early warning radar is constant, more sampling points mean that the CPI will be lengthened, which will cause the clutter and the distance of the target to move, which will bring more difficulties to the subsequent processing, so the time-frequency analysis method is directly used To detect air maneuvering targets, there will be a problem of poor estimation accuracy

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