qampy.equalisation#

Adaptive equaliser functions#

Functions for adaptive equalisation and filer application.

The following adaptive equaliser methods are provided:

Non-decision based:

  • Constant Modulus Algorithm (CMA) after [1]

  • Radius Directed Error (RDE) [1]

  • Modfied Constant Modulus Algorithm (MCMA) after [2]

  • Modified Radius Directed Error (MRDA) after [3]

  • Signed based CMA [1]

Decision based:

  • Symbol Based Decision (SBD) after [3]

  • Modified Decision Directed Modulus Algorithm (MDDMA) after [4]

  • Decision-directed LMS after [1]

Adaptive Step Size Algorithms:

In addition algorithms can use a adaptive stepsize based on the step size adoption in [5] It is possible to use an adaptive step for all equalisers using the adaptive_stepsize keyword parameter

Real-valued equalisers:

A subset of the equalisers can be run as real-valued equalisers.

Data aided:

In addition there is a data aided SBD algorithm and real_valued DD algorithm

The available methods are specified in the following sets

qampy.equalisation.DATA_AIDED = ('dd_data_real', 'sbd_data')#

Data-aided equalisation methods

qampy.equalisation.TRAINING_FCTS = ('sbd', 'mddma', 'dd', 'sbd_data', 'dd_real', 'dd_data_real', 'cma', 'cma2', 'mcma', 'rde', 'mrde', 'cma_real', 'sgncma_real', 'sgncma')#

All available equaliser method#:

qampy.equalisation.NONDECISION_BASED = ('cma', 'cma2', 'mcma', 'rde', 'mrde', 'cma_real', 'sgncma_real', 'sgncma')#

Non-decision based equalisation methods

qampy.equalisation.DECISION_BASED = ('sbd', 'mddma', 'dd', 'sbd_data', 'dd_real', 'dd_data_real')#

Decision based equalisation methods

qampy.equalisation.REAL_VALUED = ('cma_real', 'dd_real', 'dd_data_real', 'sgncma_real')#

Real-valued equalisation methods

References

Module Attributes

DECISION_BASED

Decision based equalisation methods

NONDECISION_BASED

Non-decision based equalisation methods

REAL_VALUED

Real-valued equalisation methods

DATA_AIDED

Data-aided equalisation methods

TRAINING_FCTS

All available equaliser method#:

Functions

apply_filter(sig, wxy[, method, frames])

Apply the equaliser filter taps to the input signal.

dual_mode_equalisation(sig, mu, Ntaps[, ...])

Blind equalisation of PMD and residual dispersion, with a dual mode approach.

equalise_signal(sig, mu[, wxy, Ntaps, ...])

Blind equalisation of PMD and residual dispersion, using a chosen equalisation method.

pilot_equaliser(signal, mu, Ntaps[, apply, ...])

Pilot based equalisation on a single frame

pilot_equaliser_nframes(signal, mu, Ntaps[, ...])

Pilot based equalisation over multiple frames