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- W2078077997 abstract "To perform effective radar small signal detection in low SNR, a signal-processing model is established. In the model, the feature factors that distinguish small signal from noise are defined with whitening process and feature decomposition frequency estimation, then the RBF parameters are optimized by using genetic algorithm and APGA-RBF neural network is formed to realize classification, thereby the small signal detection is completed. Results of simulation show that the detection probability is greatly increased as well as the performance of classification." @default.
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- W2078077997 date "2013-01-01" @default.
- W2078077997 modified "2023-09-25" @default.
- W2078077997 title "The Application of Alterable Parameter Genetic Algorithm and Neural Network in Artillery Locating Radar Detecting Small Signal" @default.
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- W2078077997 doi "https://doi.org/10.4028/www.scientific.net/amr.645.259" @default.
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