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- W1482648468 abstract "A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixes are constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Taking the methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Whereupon, a template library for target recognition is built by the projection of a class-mean vector made from the radar data onto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and each template in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar data arte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noise when SNR≥5dB." @default.
- W1482648468 created "2016-06-24" @default.
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- W1482648468 date "2003-01-01" @default.
- W1482648468 modified "2023-09-27" @default.
- W1482648468 title "A Target Recognition Approach to Projecting HRR Profiles onto Subspace" @default.
- W1482648468 hasPublicationYear "2003" @default.
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