Signal Recognition of Polyphase‐Coded Radar Signals Based on Multifeature Fusion
Xiaofeng Wang, Huixu Dong, Ruilan Tian · Wireless Communications and Mobile Computing · 2022
For improving recognition accuracy of polyphase‐coded radar signals under low signal to noise ratio (SNR), a recognition method based on multifeature and feature selection was proposed. First, feature parameters of polyphase‐coded radar signals in time domain, frequency domain, and pseudo‐Zernike moments of Choi‐Williams distribution (CWD) were extracted, respectively. And then, redundancy features and small‐correlation features were removed based on mutual information with greedy idea. Finally, recognition of polyphase‐coded radar signals was implemented using support vector machines (SVM). The experimental results showed that the average recognition accuracy of proposed method was over 90% when SNR is 0 dB, and the recognition performance was superior to the existing methods.