Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication
According to the problem that the threshold for traditional blanking depends on the characteristic parameters of noise and exist large deviation，an adaptive noise mitigation algorithm based on peak estimate and feedback compensation(ANMPEFC)in power line communication was proposed.First，SLM mapping...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2017-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017283/ |
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| Summary: | According to the problem that the threshold for traditional blanking depends on the characteristic parameters of noise and exist large deviation，an adaptive noise mitigation algorithm based on peak estimate and feedback compensation(ANMPEFC)in power line communication was proposed.First，SLM mapping preprocessing method was employed to reduce the PAPR of emission signal，peak information was used to estimate the frequency of the received signal and the relationship between peak frequency and impulse characteristics was established.Next，received signal was processed by blanking block and feedback compensation block adaptively according to estimated pulse frequency.Finally， performance of proposed algorithm and existing algorithms were analyzed based on threshold deviation.According to the results from simulation，it is clearly demonstrated that the proposed ANMPEFC can work in power line impulse noise environment without knowing the noise characteristics and has better performance in contrast to existing impulse noise suppression algorithm. |
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| ISSN: | 1000-436X |