Airborne radar space-time three-dimensional clutter suppression method based on double direct product decomposition

Abstract

The invention discloses an airborne radar space-time three-dimensional clutter suppression method based on double direct product decomposition. The problems that airborne radar space-time three-dimensional clutter suppression calculation complexity is high, the quantity of demanded samples is large, and array element errors obviously reduce detection performance are mainly solved. The implementation process of the method comprises the first step of carrying out primary direct product decomposition on the weight vector of a space-time three-dimensional filter, the second step of carrying out secondary direct product decomposition on a space-domain weight vector, the third step of obtaining the double direct product decomposition mode of the weight vector of the space-time three-dimensional filter through truncation processing, the fourth step of solving a time-domain weight vector set, a space-domain orientation dimension weight vector set and a space-domain pitching dimension weight vector set through a double double-iterative algorithm and the fifth step of restoring the space-time three-dimensional filter weight vector according to the solved time-domain weight vector set, space-domain orientation dimension weight vector set and space-domain pitching dimension weight vector set and carrying out clutter suppression. The method is low in computation complexity, the quantity of the demanded samples is small, good error robustness is achieved, and moving target detection performance can be improved.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to an airborne radar space-time three-dimensional dimension reduction adaptive clutter suppression method based on double direct integral decomposition, which can be used to improve the detection performance of moving targets. Background technique [0002] Airborne radar is used to identify moving targets in a strong clutter environment. Due to the different directions of the clutter scattering units, the corresponding clutter doppel rate frequencies are also different. This phenomenon is called the space-time coupling characteristic. Finding a simple and efficient clutter suppression method has always been one of the research focuses in the field of airborne radar. Three-dimensional space-time adaptive processing (3D-STAP) is an adaptive processing in two-dimensional airspace and time domain, which can make full use of the degree of freedom in the pitch ...

AI Technical Summary

Problems solved by technology

[0003] At present, in the airborne radar 3D-STAP, the commonly used method is the extended factorization method (EFA). This method first performs Doppler filtering in the time domain, and then performs joint adaptive processing in the airspace elevation dimension and azimuth dimension. When When there is an array element error, the clutter spectrum spreads in the airspace, and more clutter enters the time-domain Doppler channel, and the performance of the algorithm decreases. Moreover, this method needs to invert the full-dimensional processor in the airspace, which has high computational complexity. Not conducive to real-time processing

In addition, it has been proved that in order to ensure that the adaptive gain and loss is less than 3dB, the number of independent and identically distributed samples required by the EFA method should be more than twice the dimension of the spatial full-dimensional processor, but in the actual fast time-varying clutter environment, it is usually difficult get so many independent and identically distributed samples

Similarly, some other existing airborne radar 3D-STAP methods will have similar problems

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