Automatic target recognition method for low-resolution ground surveillance radar based on 1D-CNN

Renhong Xie; Bohao Dong; Peng Li; Yibin Rui; Xing Wang; Junfeng Wei

doi:10.1117/12.2581319

20 January 2021 Automatic target recognition method for low-resolution ground surveillance radar based on 1D-CNN

Renhong Xie, Bohao Dong, Peng Li, Yibin Rui, Xing Wang, Junfeng Wei

Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 1171907 (2021) https://doi.org/10.1117/12.2581319
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China

Abstract

This paper proposes a low-resolution ground surveillance radar automatic target recognition(ATR) method based on onedimensional convolutional neural network (1D-CNN), which solves the problem of overfitting using complex CNN for data classification. First, the target recognition algorithm combines the time-domain waveform, power spectrum, and power transform spectrum into the three channels of the established 1D-CNN input. After that, the autoencoder is used to reduce the feature dimension and improve the classifier's ability to select parameters autonomously. Finally, the Bayesian hyperparameter optimization method is used to optimize hyperparameters, which not only simplifies the network structure, but also reduces the parameter calculation scale. We tested our method with the collected data to classify people and cars, and the results showed that the recognition accuracy rate has reached 99%. Compared with the traditional artificial feature extraction target recognition method, our model has better recognition performance and adaptability.

Citation Download Citation

Renhong Xie, Bohao Dong, Peng Li, Yibin Rui, Xing Wang, and Junfeng Wei "Automatic target recognition method for low-resolution ground surveillance radar based on 1D-CNN", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 1171907 (20 January 2021); https://doi.org/10.1117/12.2581319

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KEYWORDS

Radar

Target recognition

Surveillance

Automatic target recognition

Convolution

Feature extraction

Computer programming

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