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A Target Recognition Approach to Projecting HRR Profiles onto Subspace 被引量:1
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作者 pei bingnan & bao zhengkey lab. of radar signal processing, xidian university, xi’an 710071, p. r. china Dep.. of Electr.nic Engineer.ng, Zhengzhou university, Zhengzhou 450052, p.r. china 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2003年第1期36-40,共5页
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 o... 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. 展开更多
关键词 计算机仿真 距离分拣器 雷达 自动目标识别
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