The application relates to a target identification method and device in a complex
electromagnetic environment, which comprises the following steps: carrying out denoising
processing on a
target signal to be identified by using a
wavelet packet threshold value to obtain a reconstructed
signal; identifying the reconstructed
signal according to a
frequency domain self-adaptive
amplitude modulation to obtain a
signal type of the
target signal; obtaining a corresponding
radiation source individual of the
target signal by using a pre-trained
support vector machine; and obtaining an identification result of the target signal according to the signal type of the target signal and the corresponding
radiation source individual. Through the above technical scheme, the
wavelet packet threshold value is used for denoising, the
noise interference is significantly reduced under a low signal-to-
noise ratio, the effective part of the target signal is improved, the reconstructed signal is identified according to the
frequency domain self-adaptive
amplitude modulation, so that the signal type is obtained, the calculation time can be reduced, the target signal has a high
identification rate, and the pre-trained
support vector machine is used for obtaining the
radiation source individual, so that the identification of the corresponding radiation source individual of the target signal can be efficiently completed.