Radar Plot Classification Method Based on Recurrent Neural Network
Zhengcheng Liu, Yongmei Qi, Xiao Dai · Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering · 2020
Radar will be affected by clutter in the process of detecting target inevitably, and clutter plot will be generated in signal processing and detection. In this paper, the binary classification of target and clutter is carried out by recurrent neural network. Firstly, the multidimensional feature parameters of radar plot are extracted, and the influence of single feature and different feature combination on radar plot classification is studied. We find that the classification method in this paper is better than the traditional support vector machine and fully connected neural network model under the given model effect evaluation index. All the data used in this paper are radar measured data, which verifies the effectiveness of the proposed algorithm.