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| LLE-Based Classification Algorithm and Its Application to Passive Millimeter Wave Target Recognition |
| Luo Lei; Li Yue-hua |
| School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract A new one-class classification algorithm is put forward based on the idea of Locally Linear Embedding (LLE) and the low dimensional manifold of data distribution, for the issue of one-class classification of pattern recognition. The low dimensional manifold the short-time Fourier spectrum of passive millimeter wave (MMW) detector echo signal is found, which characteristics are explored as well. The algorithm is more efficient than present popular one-class classification algorithm when applied to passive MMW metal target recognition. Moreover, it is not sensitive to input parameters and is robust to data aliasing.
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Received: 12 June 2009
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Corresponding Authors:
Li Yue-hua
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2010, Vol. 32 
