1. Performance Comparison of Adaptive and Blind Equalization Algorithms for Wireless Communication
- Author
-
T. Arivoli and K. Suthendran
- Subjects
Adaptive algorithm ,Computer science ,business.industry ,Bandwidth (signal processing) ,Adaptive equalizer ,Least mean squares filter ,Psychiatry and Mental health ,Neuropsychology and Physiological Psychology ,Transmission (telecommunications) ,Wireless ,business ,Algorithm ,Communication channel ,Blind equalization - Abstract
Adaptive equalization is a well known method to minimize the Inter-Symbol Interference (ISI) in wireless communication. Often, adaptive algorithm requires transmission of known training sequence to track the time varying characteristics of the channel and hence utilizes additional bandwidth. It is also impractical to have training sequences in all types of transmissions (e.g. non-cooperative environment). Blind algorithm is a concept to track the time varying characteristics of the channel in the absence of training sequence. However, it leads to slow convergence. In this paper, we compare the performance of adaptive LMS algorithm and SATO based blind algorithm for PAM signal.
- Published
- 2013