Discriminative infinite fuzzy restricted Boltzmann machine learning for HRRPs classification

Zechao Wang; Xizhang Wei

doi:10.1117/12.3011401

8 November 2023 Discriminative infinite fuzzy restricted Boltzmann machine learning for HRRPs classification

Zechao Wang, Xizhang Wei

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 1292307 (2023) https://doi.org/10.1117/12.3011401
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

Deep learning architectures have been widely fostered throughout the last years and used in various applications, such as object recognition, image reconstruction, and signal processing. Recognition based on radar high resolution range profiles sequences(HRRPs) is essential to robust radar target recognition. Generally, it is almost always better to recognize radar targets in low-clutter environments. Recognition methods commonly cannot extract features from HRRP sequences, especially when the environmental background is not "clean." The Restricted Boltzmann Machine (RBM) is an excellent generative learning model. By extending its parameters from real numbers to fuzzy parameters and adding a hidden layer dynamic random permutation algorithm, we developed the discriminative infinite fuzzy restricted Boltzmann machine (Dis-iFRBM). The proposed model possesses better robust recognition capability than the discriminative infinitely restricted Boltzmann machine (Dis-iRBM). In order to verify the recognition stability and robustness of Dis-iFRBM, radar HRRP sequences recognition experiments are conducted in this paper. The radar HRRPs recognition experiments were conducted to validate the identity stability and robustness of Dis-iFRBM. The experimental results on several HRRPs datasets show that the proposed method is more effective in a "noisy" environment than other models. Moreover, the proposed recognition model have some significant advantages over the traditional structures

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zechao Wang and Xizhang Wei "Discriminative infinite fuzzy restricted Boltzmann machine learning for HRRPs classification", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 1292307 (8 November 2023); https://doi.org/10.1117/12.3011401

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KEYWORDS

Fuzzy logic

Machine learning

Radar

Target recognition

Neural networks

Performance modeling

Detection and tracking algorithms

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