Zero forcing equalizer example

1. What is zero-forcing equalizer algorithm explain?
2. What is the use of zero forced equalizers in digital communication?
3. What is LMS equalizer?
4. What is decision feedback equalizer?

What is zero-forcing equalizer algorithm explain?

The zero-forcing equalizer is a form of linear equalization algorithm used in communication systems which applies the inverse of the frequency response of the channel. This form of equalizer was first proposed by Robert Lucky.

What is the use of zero forced equalizers in digital communication?

The Zero-Forcing Equalizer applies the inverse of the channel frequency response to the received signal, to restore the signal after the channel [21]. The name Zero Forcing corresponds to bringing down the intersymbol interference (ISI) to zero in a noise free case.

What is LMS equalizer?

LMS algorithm is applied to equalize the effect of the channel. In this paper we take different value for step size in adaptive equalizer. The value for the step size must be used when the Least Mean Square (LMS) algorithm used to create an adaptive filter.

What is decision feedback equalizer?

The Decision Feedback Equalizer (DFE) is a form of non-linear equalization which relies on decisions about the levels of previous symbols (high/low) to correct the current symbol. This allows the DFE to account for distortion in the current symbol that is caused by the previous symbols.