We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
An improved discrete Fourier transformation channel estimation algorithm with low complexity for orthogonal frequency division multiplexing‐based power line carrier communication systems.
- Authors
Fan, Gao; Yu, Zhou; Shuangshuang, Zhao; Yue, Li; Xiao, Chen; Chao, Zhou; Xiang, Wang; Zhen, Zhang
- Abstract
Orthogonal frequency division multiplexing (OFDM) technology has been increasingly applied to power line carrier communication (PLC). Discrete Fourier Transformation (DFT)‐based channel estimation algorithm is suitable for OFDM‐based PLC due to its low complexity. In view of the problem that the traditional DFT channel estimation does not consider the influence of noise inside cyclic prefix (CP), an improved DFT channel estimation based on signal‐to‐noise ratio (SNR) estimation is proposed. First, least‐square (LS) algorithm is performed and the frequency domain channel estimation is converted to the time domain through inverse DFT, and the average SNR of the system is estimated according to the pilot sequence. Second, the substitute SNR for each sample point inside CP is defined and used to filter impulse noise inside CP. Third, the average SNR is converted into the threshold of the useful signal energy inside CP, and the widespread background noise inside CP is filtered. The simulation results show that the proposed algorithm can obtain more accurate channel estimation than other DFT channel estimation algorithms because it can effectively filter out noise inside CP. In addition, compared with other similar algorithms, the proposed algorithm dose not result in a significant increase in complexity.
- Subjects
CHANNEL estimation; CARRIER transmission on electric lines; FOURIER transforms; ORTHOGONAL frequency division multiplexing; TELECOMMUNICATION systems; BURST noise
- Publication
IET Communications (Wiley-Blackwell), 2023, Vol 17, Issue 16, p1907
- ISSN
1751-8628
- Publication type
Article
- DOI
10.1049/cmu2.12660