Decision feedback approach to blind algorithms in impulsive noise environments
- Resource Type
- Conference
- Authors
- Kim, Namyong; Byun, Hyung-Gi; Kwon, Ki-Hyeon
- Source
- 2012 35th International Conference on Telecommunications and Signal Processing (TSP) Telecommunications and Signal Processing (TSP), 2012 35th International Conference on. :653-657 Jul, 2012
- Subject
- Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Noise
Kernel
Cost function
Decision feedback equalizers
Blind equalizers
Robustness
Blind equalization
Decision feedback
Gaussian kernel
Impulsive noise
Information potential
- Language
In order to cope with impulsive noise and error propagation problems without any additional schemes, new decision feedback algorithms with inherent robustness against impulsive noise are introduced in this paper. The Gaussian kernel with a mathematically constructed information potential makes the algorithms insensitive to large differences between symbol points and outputs induced by impulsive noise. This property effectively prevents decision feedback strategies from incorrect decisions and error propagation. From the simulation results, the proposed strategy has yielded significant performance enhancement of 7 dB over the previously proposed scheme.