Abstract
According to the recently neurophysiology research results, a novel signal detection subsystem of radar based on HA-CNN is proposed in this paper. With a kind of improved chaotic neuron that is based on discrete chaotic map and Aihara model, Hierarchical-Associative Chaotic Neural Network (HA-CNN) exhibits promising chaotic characteristics. The function of HA-CNN in the signal detection subsystem of radar is to reduce the influence of the environmental strong noisy chaotic clutter and distill the useful signal. The systematic scheme of signal detection with HA-CNN and the detailed chaotic parameter region of HA-CNN applied in signal detection are given and the results of analysis and simulation both show this kind of signal detection subsystem has good detecting ability and fine noise immunity.
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© 2004 Springer-Verlag Berlin Heidelberg
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Xiong, Z., Shi, X. (2004). A Novel Signal Detection Subsystem of Radar Based on HA-CNN. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_54
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DOI: https://doi.org/10.1007/978-3-540-28648-6_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
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