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Single Channel Source Separation and Parameters Estimation of Multi-component Sinusoid Frequency Modulation Signal Based on Generalized Periodic |
Zhu Hang①② Zhang Shu-ning① Zhao Hui-chang① |
①(School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)
②(Unit 73015 of PLA, Huzhou 313000, China) |
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Abstract A method of single channel source separation and parameters estimation of multi-component Sinusoid Frequency Modulation (SFM) signal is proposed, the generalized periodic is derived and it can be used to estimate the modulation frequency by singular value decomposition. The estimated modulation frequency can be used as a known quantity, then by searching the discrete points and optimization calculating with the trust region algorithm, the Frequency Modulation (FM) initial phase, the FM index and the carrier frequency are determined. Finally, the amplitude and the initial phase can be determined by calculating the inner product. In addition, the proposed method can estimate the Signal Noise Ratio (SNR) by using eigenvalue decomposition, and the SNR can be used to determine the threshold adaptively. In the simulation, the method is demonstrated by separating a specific signal, and it is supposed that the proposed method is effective in different SNRs.
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Received: 05 November 2013
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Corresponding Authors:
Zhang Shu-ning
E-mail: a353eoenjust@163.com
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