Abstract
For the realization of feature separability evaluation for advanced radar emitter signals (RES), the evaluation methods of feature separability of advanced radar emitter signals were proposed based on four kinds of measure. It reflects the within-class aggregation and class separation of the feature clustering through the maximum of within-class Euclidean distance, the sum of within-class Euclidean distance, the variance of within-class Euclidean distance and the sum of Euclidean distance between classes. The corresponding measures were calculated by using six typical advanced radar emitter signals. The results show that this method is effective and feasible, and can implement the feature separability evaluation for advanced radar emitter signals.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhu, B., Jin, W., Yu, Z., Duan, M. (2012). Feature Separability Evaluation for Advanced Radar Emitter Signals. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34396-4_25
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DOI: https://doi.org/10.1007/978-3-642-34396-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34395-7
Online ISBN: 978-3-642-34396-4
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