Unknown radar target recognition method based on radiation source feature subspace knowledge

Abstract

The invention discloses an unknown radar target recognition method based on radiation source feature subspace knowledge, and belongs to the field of radar and artificial intelligence, and the method comprises the following steps: S1, employing known radar target data to construct a training set, employing the training set to train a classification recognition model, and obtaining a trained classification recognition model; s2, acquiring a high-dimensional feature vector output by processing an input radar target test sample by the trained classification recognition model, constructing a center matrix based on the high-dimensional feature vector, and performing singular value decomposition on the center matrix to obtain a zero-value domain subspace; s3, calculating the ratio of the vector length of the projection of the test sample in the value domain subspace to the vector length of the projection of the test sample in the zero domain subspace, and determining a judgment threshold; s4, judging whether the new radar target to be identified belongs to a known radar target or an unknown radar target based on the judgment threshold. According to the invention, the problem that the radar unknown target cannot be accurately identified in the prior art is solved.

Description

technical field [0001] The invention relates to the field of radar and artificial intelligence, in particular to an unknown radar target recognition method based on radiation source characteristic subspace knowledge. Background technique [0002] Typical radar unknown target recognition method: [0003] A. The method based on target clustering: After obtaining the radar target signal, the radar data is preprocessed to obtain its characteristic data. Through the clustering method, in the cluster space, the radar target signals belonging to the same category are aggregated. Different classes of radar target signals stay away. [0004] B. The method of feature extraction based on neural network: After the radar target signal is obtained, the radar data is preprocessed and sent to the neural network for feature extraction to obtain a high-dimensional vector. Analyze the high-dimensional vector to obtain the characteristic data of each type of radar signal, and distinguish know...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the above deficiencies in the prior art, the present invention provides an unknown radar target recognition method based on the radiation source characteristic subspace knowledge, which solves the problem that the prior art cannot accurately identify radar unknown targets

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