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An Efficient Multi-component Signals Reconstruction Algorithm Using Masking Technique Based on Sliding Window in Time-frequency Plane |
Su Jia Tao Hai-hong Rao xuan Xie Jian |
(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) |
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Abstract Due to the huge computation for eigenvalue decomposition based signal synthesis method, an efficient multi-component signals reconstruction algorithm is presented in this paper. Firstly, by analyzing the inverse transformation for Wigner-Ville distribution, a fast signal reconstruction is developed using the inherent relationship between original signal and synthesized signal. Then, the smoothed pseudo Wigner-Ville distribution is used as a time-frequency masking to suppress the cross-terms, and the sliding window method in time-frequency plane is adopted to extract signals one by one. Finally, by combining the signal synthesis algorithm and the sliding window masking method, multi-component signals reconstruction can be realized efficiently and accurately. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.
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Received: 22 April 2014
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Corresponding Authors:
Su Jia
E-mail: Jiasu1011@126.com
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