An Unknown Radar Target Recognition Method Based on Subspace Knowledge of Emitter Characteristic

A characteristic subspace and radar target technology, which is applied in the field of radar and artificial intelligence, can solve the problem that radar unknown targets cannot be accurately identified, achieve the effect of improving calculation speed and recognition accuracy, and reducing the amount of calculation

Active Publication Date: 2022-04-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Description
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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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  • An Unknown Radar Target Recognition Method Based on Subspace Knowledge of Emitter Characteristic
  • An Unknown Radar Target Recognition Method Based on Subspace Knowledge of Emitter Characteristic
  • An Unknown Radar Target Recognition Method Based on Subspace Knowledge of Emitter Characteristic

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Embodiment Construction

[0068] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0069] Such as figure 1 and 4 As shown, an unknown radar target recognition method based on the subspace knowledge of radiation source characteristics includes the following steps:

[0070] S1. Using known radar target data to construct a training set, using each radar working state of the multi-function radar as a category to be classified, using the training set to train the classification recognition model, and obtainin...

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Abstract

The invention discloses an unknown radar target recognition method based on radiation source characteristic subspace knowledge, which belongs to the field of radar and artificial intelligence, and comprises the following steps: S1, using known radar target data to construct a training set, and using the training set to classify and identify a model Carry out training to obtain the classification recognition model that has been trained; S2. Obtain the high-dimensional feature vector output by processing the input radar target test sample from the classification recognition model that has been trained. Based on the high-dimensional feature vector, construct a center matrix, and perform singular Decompose the value to obtain the zero-range subspace; S3, calculate the ratio of the vector length of the projection of the test sample in the value-range subspace to the zero-range subspace, and determine the judgment threshold; S4, based on the judgment threshold, judge the new radar to be identified The target belongs to a known radar target or an unknown radar target; the invention solves the problem that the prior art cannot accurately identify the radar unknown target.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/774G06K9/62G01S13/02G06N3/04G06N3/08
CPCG01S13/02G06N3/08G06N3/045G06F18/24G06F18/214
Inventor 利强代策宇杨健邵怀宗潘晔林静然
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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