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首页> 外文期刊>WSEAS Transactions on Signal Processing >Research on the Denoising of the Beidou Carrier Signal based on EEMD Algorithm with Adaptive Reconstruction Optimizing of IMF Numbers
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Research on the Denoising of the Beidou Carrier Signal based on EEMD Algorithm with Adaptive Reconstruction Optimizing of IMF Numbers

机译：基于EEMD算法的基于EEMD算法的北斗载波信号去噪研究IMF号的自适应重构

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摘要

The Beidou carrier signal is coupled into a certain noise during propagation and reception, and these noise will directly affect the processing procedure associated with it. To deal with the problem of the influence due to the manually setting the IMF (Intrinsic Mode Function) component number for the reconstruction signal, a new measuring index that used for finding the optimal IMF components to reconstruct the signal has been designed in this paper. The index has taken the shape of the signal, signal noise ratio and correlation index into consideration. Upon on the basis, an adaptive index optimization Ensemble Empirical Mode Decomposition (AIO-EEMD) algorithm has been proposed in this paper. To verify the validity of the algorithm, four different algorithms are used to denoised the collected Beidou signal. The experiment results show that the noise reduction using the AIO-EEMD method can not only automatically obtain the optimal IMF components number, but also has a significant advantage over the other three methods.
机译：北斗载波信号在传播和接收过程中耦合成一定的噪声，这些噪声将直接影响与之相关的处理过程。为了解决人工设定重构信号的IMF分量数所带来的影响问题，本文设计了一种新的测量指标，用于寻找重构信号的最优IMF分量。该指标综合考虑了信号的形状、信噪比和相关指数。在此基础上，本文提出了一种自适应指标优化集成经验模态分解（AIO-EEMD）算法。为了验证算法的有效性，使用了四种不同的算法对采集到的北斗信号进行去噪。实验结果表明，采用AIO-EEMD方法进行降噪不仅可以自动获得最优IMF分量数，而且与其他三种方法相比具有显著的优势。

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