Preprocessing-Based Impulsive Noise Reduction for Power-Line Communications
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1790
- Type
- D - Journal article
- DOI
-
10.1109/TPWRD.2013.2291513
- Title of journal
- IEEE Transactions on Power Delivery
- Article number
- -
- First page
- 1648
- Volume
- 29
- Issue
- 4
- ISSN
- 0885-8977
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
-
http://e-space.mmu.ac.uk/618645/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
C - Smart Infrastructure
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Impulsive noise is a dominant factor in many communication systems and is usually dealt with at the receiver. This work is significant because it is the first to develop an algorithm based on intelligently pre-processing information signals at the transmitter to make noise cancellation more efficient at the receiver and also to reduce the size and cost of such receivers. The proposed idea won the best paper award at IEEE ISPLC (top conference in this field) in Texas (USA, 2015). The results were also delivered as invited talks at University of Klagenfurt (Austria, 2017) and University of Patras (Greece, 2016).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -