Abstract
In order to solve the problem of identifying radar signal modulation types in a complex electromagnetic environment, this paper analyzes and evaluates some of the existing identification methods, such as CW, LFM, NLFM, BPSK, QPSK, FSK, FSK + PSK, and LFM + BPSK modulation types, and proposes a hierarchical decision recognition algorithm based on feature extraction. First, the signal is preprocessed by FFT transformation and STFT transformation. Second, a new set of radar signal recognition characteristic parameters is proposed to identify and classify different signals. Then, by analyzing the characteristics of different signals, the signals are identified and classified one by one. Finally, the usability of the proposed algorithm is obtained by comparing several commonly used recognition algorithms. The simulation results show that the recognition success rate of this algorithm can reach 95% when the SNR is better than −7 dB, which has certain industrial application value.
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