The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm. (23rd April 2017)
- Record Type:
- Journal Article
- Title:
- The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm. (23rd April 2017)
- Main Title:
- The Channel Compressive Sensing Estimation for Power Line Based on OMP Algorithm
- Authors:
- Zhang, Yiying
Liang, Kun
He, Yeshen
Wu, Yannian
Hu, Xin
Sun, Lili - Other Names:
- Cheng Hui Academic Editor.
- Abstract:
- Abstract : Power line communication (PLC) can collect information by power line which increases the coverage and connectivity of the smart grid. In this paper, we analyze the transmission characteristics of the power line channel and model it with mathematics channel. The multipath effect of the power line channel is studied with a novel technology named compressive sensing herein. We also proposed a new method to the power line channel estimation based on compressive sensing. We can collect and extract the effective parameters of the power line channel to storage, which only take very little storage space. The simulation results show that the proposed approach can reduce the amount of processing data in the digital signal processing module and decrease the requirement for the hardware.
- Is Part Of:
- Journal of electrical and computer engineering. Volume 2017(2017)
- Journal:
- Journal of electrical and computer engineering
- Issue:
- Volume 2017(2017)
- Issue Display:
- Volume 2017, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 2017
- Issue:
- 2017
- Issue Sort Value:
- 2017-2017-2017-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-04-23
- Subjects:
- Computer engineering -- Periodicals
Electrical engineering -- Periodicals
621.3905 - Journal URLs:
- https://www.hindawi.com/journals/jece/ ↗
- DOI:
- 10.1155/2017/2483586 ↗
- Languages:
- English
- ISSNs:
- 2090-0147
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22849.xml