A Status Recognition Method Based on Scattering Center Matching

The radar signal contains a lot of target information. With the continuous development of radar technology, radar recognition algorithms are becoming increasingly popular. As a traditional recognition algorithm, the recognition algorithm based on template matching has the advantages of simple operation and easy understanding. However, it usually pays attention to the global similarity statistics between the global template and the test target. It ignores the importance of local features. A radar target attitude matching algorithm based on scattering center is proposed in this paper. The algorithm emphasizes the relationship between the local structures of the target. And the algorithm can identify the target template by measuring local feature similarity of the targets. Firstly, the scattering center containing the target scattering feature is extracted. The scattering centers of the test set and the template set are matched through the Hungarian matching algorithm. It should be noted that the Euclidean distance between the scattering center of the test set and the template set is used as the cost matrix of the Hungarian matching algorithm. Then, the matching degree is calculated according to the scattering center characteristics of the matching template, and the sample amplitude is taken as the weighting coefficient in this process. Finally, the target attitude results are obtained by using the maximum confidence criterion. The analysis results show that the method has good attitude recognition performance and is feasible for aircraft state recognition.