Equalization

Adaptive and MLSE equalizers

Apply signal equalization to received signals.

Functions

mlseeq Equalize linearly modulated signal using MLSE

Objects

`comm.DecisionFeedbackEqualizer`	Equalize modulated signals using decision feedback filtering
`comm.LinearEqualizer`	Equalize modulated signals using linear filtering
`comm.MLSEEqualizer`	Equalize using maximum likelihood sequence estimation

Blocks

Decision Feedback Equalizer	Equalize modulated signals using decision feedback filtering
Linear Equalizer	Equalize modulated signals using linear filtering
MLSE Equalizer	Equalize using Viterbi algorithm

Topics

Equalization

Equalization using adaptive or MLSE techniques.

Adaptive Equalizers

Equalizing a signal using a linear or decision-feedback equalizer structure and algorithms that can adaptively update tap weights.

MLSE Equalizers

Equalizing a signal using an MLSE equalizer.

Featured Examples

BER Performance of Different Equalizers

The BER performance of several types of equalizers in a static channel with a null in the passband. The example constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.

Open Script

Equalize BSPK Signal

Equalize a BPSK signal using a linear equalizer with an least mean square (LMS) algorithm.

Open Live Script

Compare RLS and LMS Algorithms

Equalize a QAM signal passed through a frequency-selective fading channel using RLS and LMS algorithms. Compare the performance of the two algorithms.