Robust Air Target Intention Recognition Based on Weight Self-Learning Parallel Time-Channel Transformer Encoder
Zihao Song,
Yan Zhou,
Wei Cheng
et al.
Abstract:Most existing air target intention recognition methods use only single-moment information, risking failure when acquiring data containing noise and many outliers. The robustness of methods that utilize continuous moment information has yet to be explored. This paper designs a robust recognition method for air target intention to address the above problems. The method takes data with noise and outliers as the object, based on a parallel time-channel Transformer Encoder and a weight self-learning unit. First, a … Show more
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