Adaptive Equalization is a concept used in digital signal reception to compensate for time dispersion introduced by the channel. It is an equalizer that automatically adapts to the varying characteristics of the communication channel. This technology has been developed over the last two decades, and there is a vast literature on adaptive equalization, adaptive filtering, and system identification.
Applications of Adaptive Equalization
Adaptive equalizers are used in coherent modulations, such as phase-shift keying, to mitigate the effects of multipath propagation and Doppler propagation. By changing the coefficients of the filter, an adaptive equalizer optimizes a filter property, making it an ideal solution in such environments.
How Adaptive Equalization Works
The first part of the adaptive equalization paper deals with the problem of intersymbol interference (ISI) and the basic concept of transversal equalizers. Practical adaptive equalizer structures and their properties are discussed. Linear and non-linear receiver structures are analyzed, and a fractional equalizer is shown to serve as an optimal receive filter for any receiver. Decision feedback equalization, decision-based ISI suppression, and adaptive filtering for maximum likelihood sequence estimation are also discussed in a joint framework.
Algorithms for Adaptive Equalization
The next part of the paper delves into the details of various adaptive filtering algorithms used in adaptive equalization. Least Mean Squares (LMS) adaptation algorithms, including considerations of digital precision, are discussed. Three classes of rapidly converging adaptive equalization algorithms, i.e., orthogonalized LMS, periodic or cyclic, and recursive least squares algorithms, are also presented.
Benefits of Adaptive Equalization
Adaptive equalization is highly beneficial in mitigating the effects of multipath propagation and Doppler propagation. This technology automatically adapts to the varying characteristics of the communication channel, making it an ideal solution in dynamic environments.
Final Thoughts
With the advent of modern communication systems, the need for more efficient data transmission technology is increasing. Adaptive equalization is a highly valuable technology that compensates for time dispersion introduced by the channel. With its vast literature and numerous algorithms, adaptive equalization is set to play a crucial part in modern communication systems.
FAQs
What is Adaptive Equalization?
Adaptive Equalization is a concept used in digital signal reception to compensate for time dispersion introduced by the channel. It is an equalizer that automatically adapts to the varying characteristics of the communication channel and is often used in coherent modulations such as phase-shift keying to mitigate the effects of multipath propagation and Doppler propagation.
What are the benefits of Adaptive Equalization?
Adaptive equalization is highly beneficial in mitigating the effects of multipath propagation and Doppler propagation. This technology automatically adapts to the varying characteristics of the communication channel, making it an ideal solution in dynamic environments.
What algorithms are used in Adaptive Equalization?
Least Mean Squares (LMS) adaptation algorithms, including considerations of digital precision, are used in adaptive equalization. Three classes of rapidly converging adaptive equalization algorithms, i.e., orthogonalized LMS, periodic or cyclic, and recursive least squares algorithms, are also presented.
