| 摘要: |
| 为了提高低信噪比条件下盲源分离的性能，提出了一种基于互补集合经验模态分解降噪、小波阈值降噪和随机共振降噪的三重降噪盲源分离抗干扰算法，分析了三种互补集合经验模态分解降噪与小波阈值降噪相结合的前降噪方案和扩频结合随机共振的后降噪方案，仿真讨论了所提算法的抗干扰性能。仿真结果表明，该算法在一定范围低信噪比条件下能够从受扰的混合信号中恢复出通信方的期望信号。 |
| 关键词: 盲源分离 抗干扰算法 互补集合经验模态 小波阈值降噪 随机共振 |
| DOI： |
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| 基金项目: |
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| A blind source separation anti-jamming algorithm with triple denoising |
| CAO Yue,ZHANG Hang,ZHU Hongpeng,LI Ruisi,CAO Jing |
| (College of Communication Engineering,
Army Engineering University of PLA;College of Command and Control Engineering,
Army Engineering University of PLA;Unit 31108 of PLA) |
| Abstract: |
| To improve the performance of blind source separation in low signal to noise ratio(SNR) condition,this paper proposes a blind source separation anti jamming algorithm with triple denoising based on complementary set empirical mode decomposition denoising,wavelet threshold denoising and stochastic resonance denoising.Three pre denoising schemes are analyzed,in which complementary ensemble empirical mode decomposition denoising is combined with wavelet threshold denoising,as well as the post denoising scheme in which spread spectrum is combined with stochastic resonance.The performance of the proposed algorithm is discussed through simulation.The simulation results show that the algorithm can recover the desired signal of the communicating party from the disturbed mixed signal under a certain range of low SNR conditions. |
| Key words: blind source separation anti jamming algorithm complementary ensemble empirical mode wavelet threshold denoising stochastic resonance |
