A method for deinterleaving based on JANET

doi:10.7523/j.issn.2095-6134.2021.06.013

Abstract

Abstract: Radar signal deinterleaving process is a method of classifying intensive pulse streams. The performance of signal classifiers requires to be improved when being confronted with the large amount of data and mode-switch emitters. Recurrent neural network is appropriate as a classifier for pulse streams. However it is weak of long-term dependencies. The forget gate which is a custom function in JANET overcomes the problem. In this paper, JANET is introduced as a classifier for mining the long-term temporal patterns, and the result proves the breathtaking performance of the proposed method.

Key words: radar signal deinterleaving, JANET, deinterleaving, pulse stream

CLC Number:

TN959

JIANG Zaiyang, SUN Siyue, LI Huawang, LIANG Guang. A method for deinterleaving based on JANET[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 825-831.

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