Abstract
In order to study the fine features and individual recognition of radiation signals, a method of individual recognition of secondary radar radiation source based on ITD method is proposed to solve the problem of poor anti-noise performance in current research work. This method USES the inherent time scale decomposition to describe the unintentional modulation characteristics of the radiation source signal and USES the fast entropy algorithm to measure the difference of the subtle characteristics of different radiation source signals. Support vector machine (SVM) was selected as classifier for classification and recognition. Experiments show that the proposed method can significantly improve the recognition effect and speed.
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Li, T., Zhang, Y., Yang, X. (2020). An ITD-Based Method for Individual Recognition of Secondary Radar Radiation Source. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_91
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DOI: https://doi.org/10.1007/978-981-13-9409-6_91
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