The target signal of millimeter wave (MMW) radiometer was decomposed to a series of projections in orthogonal subspaces by wavelet transform. The features of MMW radiometer in each orthogonal subspace were analyzed and characterized by neural network. In addition, the results of simulation show that the target recognition method developed by this paper is effective when the SNR is low.
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SHEN Chong-Jiang, LOU Guo-Wei, LI Xing-Guo. APPLICATION OF WAVELET TRANSFORM AND NEURAL NETWORK TO TARGET RECOGNITION OF MMW RADIOMETER[J]. Journal of Infrared and Millimeter Waves,1999,18(5):337~342