一种改进的雷达信号卷积混合排列对齐算法

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF) Pub Date : 2015-10-01 DOI:10.1109/ICEDIF.2015.7280203

Lin Li, Li Jiang, Yichuang Zhang

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引用次数: 0

摘要

卷积盲源分离(BSS)问题可以在频域得到解决。为了解决频域上的排列模糊问题，提出了一种改进的排列对齐算法。根据雷达信号的特点，首先将频域分割成若干区域分割。然后在每个区域独立进行排列比对。最后，我们融合了所有的区域，并估计了不正确分离的信号的频率点。该算法克服了一个频率点的错误排列会影响后续频率点的问题。仿真结果验证了该方法的有效性。

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An improved permutation alignment algorithm for convolutive mixture of radar signals

The convolutive blind source separation (BSS) problem can be solved in frequency domain. To solve the permutation ambiguity problem in frequency domain, this paper presents an improved permutation alignment algorithm. According to features of radar signals, first the frequency domain is divided to some region segmentations. Then the permutation alignment is performed in each region independently. Finally, we fuse all of the regions and estimate the frequency point of the signal with incorrect separation. This algorithm overcomes the problem that the incorrect permutation of a frequency point will influence subsequent frequency points. The simulation results demonstrate the effectiveness and validity of the proposed method.

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来源期刊

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)

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