時頻面滑窗掩膜的多分量信號高效重構(gòu)算法
doi: 10.11999/JEIT140511 cstr: 32379.14.JEIT140511
基金項目:
國家973計劃項目(2011CB707001)，國家自然科學基金(60971108)，航空基金和西安電子科技大學基本科研業(yè)務(wù)費(BDY061428)資助課題
An Efficient Multi-component Signals Reconstruction Algorithm Using Masking Technique Based on Sliding Window in Time-frequency Plane
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摘要: 針對基于特征值分解的Wigner-Ville分布信號重構(gòu)算法運算復雜度高這一問題，該文提出一種高效多分量信號重構(gòu)算法。首先，通過分析Wigner-Ville逆變換公式，推導出瞬時時刻重構(gòu)序列與原序列之間的聯(lián)系，提出一種高效的信號重構(gòu)算法。然后，采用平滑偽Wigner-Ville分布作為時頻掩膜抑制Wigner-Ville分布的交叉項，并通過在時頻面內(nèi)滑窗的方法逐一提取各分量信號。最后，結(jié)合高效信號重構(gòu)算法和時頻面滑窗掩膜技術(shù)，實現(xiàn)多分量信號快速準確重構(gòu)。仿真實驗證明了該算法的有效性和可行性。
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關(guān)鍵詞:
- 信號處理 /
- 信號重構(gòu) /
- Wigner-Ville分布 /
- 時頻掩膜 /
- 多分量信號
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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