采用双向LSTM模型的雷达HRRP目标识别

doi:10.19665/j.issn1001-2400.2019.02.006

Abstract

Abstract:

As the traditional recognition methods utilize the envelope information of the high resolution range profile (HRRP) without considering the temporal correlation between range cells, a novel recognition method based on the bidirectional long short term memory (BLSTM) is proposed. First, the method extracts the time-shift robust input representation by figuring out the target areas. Then, to consider the bidirectional correlation between range cells, a bidirectional long short term memory is utilized to extract the bidirectional information from the input representations. Finally, the model uses a voting mechanism to combine the bidirectional information and predict the labels. Experimental results based on measured data show that the proposed model is efficient in recognition and robust to the time-shift sensitivity.

Key words: radar automatic target recognition, long short-term memory, high resolution range profile, time-shift sensitivity, temporal correlation

CLC Number:

TP183

XU Bin,CHEN Bo,LIU Jiaqi,WANG Penghui,LIU Hongwei. Radar HRRP target recognition by the bidirectional LSTM model[J].Journal of Xidian University, 2019, 46(2): 29-34.

Figures/Tables 7

References 10

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Radar HRRP target recognition by the bidirectional LSTM model

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