Howtosignalprocessing
For a channel with frequency response (ƒ) the zero forcing equalizer (ƒ) is constructed by (ƒ) =1/F (ƒ). Thus the combination of channel and equalizer gives a flat frequency response and linear phase F (ƒ) C (ƒ) =1.
- What is zero-forcing equalizer algorithm?
- What is the use of zero forced equalizers in digital communication?
- What is decision feedback equalizer?
- What is LMS equalizer?
What is zero-forcing equalizer algorithm?
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?
2.1 Zero Forcing (ZF)
The names zero forcing corresponds to bringing down to inter-symbol interference to zero in a noise free case. This will be useful when ISI is significant compared to noise. Zero-forcing equalizers ignore the additive noise and may significantly amplify noise for channels with spectral nulls.
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.
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.
