首页|Automatic modulation recognition of radio fuzes using a DR2D-based adaptive denoising method and textural feature extraction
Automatic modulation recognition of radio fuzes using a DR2D-based adaptive denoising method and textural feature extraction
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The identification of intercepted radio fuze modulation types is a prerequisite for decision-making in interference systems.However,the electromagnetic environment of modern battlefields is complex,and the signal-to-noise ratio(SNR)of such environments is usually low,which makes it difficult to imple-ment accurate recognition of radio fuzes.To solve the above problem,a radio fuze automatic modulation recognition(AMR)method for low-SNR environments is proposed.First,an adaptive denoising algorithm based on data rearrangement and the two-dimensional(2D)fast Fourier transform(FFT)(DR2D)is used to reduce the noise of the intercepted radio fuze intermediate frequency(IF)signal.Then,the textural features of the denoised IF signal rearranged data matrix are extracted from the statistical indicator vectors of gray-level cooccurrence matrices(GLCMs),and support vector machines(SVMs)are used for classification.The DR2D-based adaptive denoising algorithm achieves an average correlation coefficient of more than 0.76 for ten fuze types under SNRs of-10 dB and above,which is higher than that of other typical algorithms.The trained SVM classification model achieves an average recognition accuracy of more than 96％on seven modulation types and recognition accuracies of more than 94％on each mod-ulation type under SNRs of-12 dB and above,which represents a good AMR performance of radio fuzes under low SNRs.
Automatic modulation recognitionAdaptive denoisingData rearrangement and the 2D FFT(DR2D)Radio fuze
Yangtian Liu、Xiaopeng Yan、Qiang Liu、Tai An、Jian Dai
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Science and Technology on Electromechanical Dynamic Control Laboratory,School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China
China Research and Development Academy of Machinery Equipment,Beijing 100089,China
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