KalmanFilter Class Reference

Class representing the family of all Kalman Filters (EKF, IEKF, ...). More...

#include <kalmanfilter.h>

Inheritance diagram for KalmanFilter:

Filter< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > ExtendedKalmanFilter IteratedExtendedKalmanFilter NonminimalKalmanFilter SRIteratedExtendedKalmanFilter

List of all members.

Public Member Functions

 KalmanFilter (Gaussian *prior)
 Constructor.
virtual ~KalmanFilter ()
 Destructor.
virtual GaussianPostGet ()
 Get Posterior density.
void AllocateMeasModel (const vector< unsigned int > &meas_dimensions)
 Function to allocate memory needed during the measurement update,.
void AllocateMeasModel (const unsigned int &meas_dimensions)
 Function to allocate memory needed during the measurement update.
virtual void Reset (Pdf< MatrixWrapper::ColumnVector > *prior)
 Reset Filter.
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, const MatrixWrapper::ColumnVector &u, MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &s)
 Full Update (system with inputs/sensing params).
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &s)
 Full Update (system without inputs, with sensing params).
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z)
 Full Update (system without inputs/sensing params).
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, const MatrixWrapper::ColumnVector &u, MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z)
 Full Update (system with inputs, without sensing params).
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, const MatrixWrapper::ColumnVector &u)
 System Update (system with inputs).
virtual bool Update (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel)
 System Update (system without inputs).
virtual bool Update (MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &s)
 Measurement Update (system with "sensing params").
virtual bool Update (MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z)
 Measurement Update (system without "sensing params").
int TimeStepGet () const
 Get current time.

Protected Member Functions

void PostSigmaSet (const MatrixWrapper::SymmetricMatrix &s)
 Set covariance of posterior estimate.
void PostMuSet (const MatrixWrapper::ColumnVector &c)
 Set expected value of posterior estimate.
void CalculateSysUpdate (const MatrixWrapper::ColumnVector &J, const MatrixWrapper::Matrix &F, const MatrixWrapper::SymmetricMatrix &Q)
void CalculateMeasUpdate (const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &Z, const MatrixWrapper::Matrix &H, const MatrixWrapper::SymmetricMatrix &R)
virtual void SysUpdate (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, const MatrixWrapper::ColumnVector &u)=0
 System Update.
virtual void MeasUpdate (MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &s)=0
 Measurement Update (overloaded).
virtual bool UpdateInternal (SystemModel< MatrixWrapper::ColumnVector > *const sysmodel, const MatrixWrapper::ColumnVector &u, MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const measmodel, const MatrixWrapper::ColumnVector &z, const MatrixWrapper::ColumnVector &s)
 Actual implementation of Update, varies along filters.

Protected Attributes

ColumnVector _Mu_new
SymmetricMatrix _Sigma_new
Matrix _Sigma_temp
Matrix _Sigma_temp_par
Matrix _S
Matrix _K
std::map< unsigned int,
MeasUpdateVariables > 
_mapMeasUpdateVariables
std::map< unsigned int,
MeasUpdateVariables >
::iterator 
_mapMeasUpdateVariables_it
Pdf
< MatrixWrapper::ColumnVector > * 
_prior
 prior Pdf
Pdf
< MatrixWrapper::ColumnVector > * 
_post
 Pointer to the Posterior Pdf.
int _timestep
 Represents the current timestep of the filter.

Friends

class NonminimalKalmanFilter

Classes

struct  MeasUpdateVariables


Detailed Description

Class representing the family of all Kalman Filters (EKF, IEKF, ...).

This is a class representing the family of all Kalman Filter (KF). Kalman filters are filters in which the Posterior density is represented by a Gaussian density. Kalman filters are only applicable to continuous systems.

The system of updating the Posterior density is implemented in this base class. However, the parameters used for this update differ for different KFs (Simple KF,EKF,IEKF): that's why the xUpdate members are still pure virtual functions.

This class is the base class for all sorts of KFs.

See also:
Gaussian

LinearAnalyticSystemModelGaussianUncertainty

Definition at line 49 of file kalmanfilter.h.


Constructor & Destructor Documentation

KalmanFilter ( Gaussian prior  ) 

Constructor.

Precondition:
you created the prior
Parameters:
prior pointer to the Gaussian Pdf prior density


Member Function Documentation

virtual Gaussian* PostGet (  )  [virtual]

Get Posterior density.

Get the current Posterior density

Returns:
a pointer to the current posterior

Reimplemented from Filter< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >.

void CalculateSysUpdate ( const MatrixWrapper::ColumnVector J,
const MatrixWrapper::Matrix F,
const MatrixWrapper::SymmetricMatrix &  Q 
) [protected]

Calculate Kalman filter System Update

\[ x_k = J \]

\[ P_k = F.P_{k-}.F' + Q \]

void CalculateMeasUpdate ( const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector Z,
const MatrixWrapper::Matrix H,
const MatrixWrapper::SymmetricMatrix &  R 
) [protected]

Calculate Kalman filter Measurement Update

\[ x_k = x_{k-} + K.(z - Z) \]

\[ P_k = (I-K.H).P_{k-} \]

with

\[ K = P_{k-}.H'.(H.P_{k-}.H'+R)^{-1} \]

virtual void SysUpdate ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
const MatrixWrapper::ColumnVector u 
) [protected, pure virtual]

System Update.

Update the filter's Posterior density using the deterministic inputs to the system and the system model

Parameters:
sysmodel pointer to the system model the filter should use
u input to the system

Implemented in ExtendedKalmanFilter, IteratedExtendedKalmanFilter, and SRIteratedExtendedKalmanFilter.

virtual void MeasUpdate ( MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector s 
) [protected, pure virtual]

Measurement Update (overloaded).

Update the filter's Posterior density using the sensor measurements, an input and the measurement model. This method is used when the measurements depend on the inputs too (doesn't happen very often, does it?) BEWARE: the first time the measurment update is called with a new size of measurement, new allocations are done

Parameters:
measmodel pointer to the measurement model the filter should use
z sensor measurement
s input to the system (must be of the same type as u for now, since this was not yet implemented in ConditionalPdf

Implemented in ExtendedKalmanFilter, IteratedExtendedKalmanFilter, and SRIteratedExtendedKalmanFilter.

virtual bool UpdateInternal ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
const MatrixWrapper::ColumnVector u,
MeasurementModel< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector s 
) [protected, virtual]

Actual implementation of Update, varies along filters.

Parameters:
sysmodel pointer to the used system model
u input param for proposal density
measmodel pointer to the used measurementmodel
z measurement param for proposal density
s sensor param for proposal density

Implements Filter< MatrixWrapper::ColumnVector, MatrixWrapper::ColumnVector >.

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
const MatrixWrapper::ColumnVector u,
MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector s 
) [virtual, inherited]

Full Update (system with inputs/sensing params).

Parameters:
sysmodel pointer to the system model to use for update
u input to the system
measmodel pointer to the measurement model to use for update
z measurement
s "sensing parameter"

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector s 
) [virtual, inherited]

Full Update (system without inputs, with sensing params).

Parameters:
sysmodel pointer to the system model to use for update
measmodel pointer to the measurement model to use for update
z measurement
s "sensing parameter"

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z 
) [virtual, inherited]

Full Update (system without inputs/sensing params).

Parameters:
sysmodel pointer to the system model to use for update
measmodel pointer to the measurement model to use for update
z measurement

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
const MatrixWrapper::ColumnVector u,
MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z 
) [virtual, inherited]

Full Update (system with inputs, without sensing params).

Parameters:
sysmodel pointer to the system model to use for update
u input to the system
measmodel pointer to the measurement model to use for update
z measurement

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel,
const MatrixWrapper::ColumnVector u 
) [virtual, inherited]

System Update (system with inputs).

Parameters:
sysmodel pointer to the system model to use for update
u input to the system

virtual bool Update ( SystemModel< MatrixWrapper::ColumnVector > *const   sysmodel  )  [virtual, inherited]

System Update (system without inputs).

Parameters:
sysmodel pointer to the system model to use for update

virtual bool Update ( MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z,
const MatrixWrapper::ColumnVector s 
) [virtual, inherited]

Measurement Update (system with "sensing params").

Parameters:
measmodel pointer to the measurement model to use for update
z measurement
s "sensing parameter"

virtual bool Update ( MeasurementModel< MatrixWrapper::ColumnVector , MatrixWrapper::ColumnVector > *const   measmodel,
const MatrixWrapper::ColumnVector z 
) [virtual, inherited]

Measurement Update (system without "sensing params").

Parameters:
measmodel pointer to the measurement model to use for update
z measurement

int TimeStepGet (  )  const [inherited]

Get current time.

Get the current time of the filter

Returns:
the current timestep


Friends And Related Function Documentation

friend class NonminimalKalmanFilter [friend]

Very dirty hack to avoid ugly methods PostSigmaSet and PostMuSet to be public! NonMinimalKalmanFilter should be redesigned though!

Definition at line 110 of file kalmanfilter.h.


Member Data Documentation

Pdf<MatrixWrapper::ColumnVector >* _post [protected, inherited]

Pointer to the Posterior Pdf.

The Posterior Pdf represents the subjective belief of the person applying the filter AFTER processing inputs and measurements. A filter does not maintain the beliefs at all timesteps t, since this leads to non-constant (or ever growing if you prefer) memory requirements. However, it is possible, to copy the Posterior density at all timesteps in your application by means of the PostGet() member function

See also:
PostGet()

Definition at line 95 of file filter.h.

int _timestep [protected, inherited]

Represents the current timestep of the filter.

Todo:
Check wether this really belongs here

Definition at line 100 of file filter.h.


The documentation for this class was generated from the following file:

Generated on Mon Mar 30 05:43:59 2009 for Bayesian Filtering Library by  doxygen 1.5.5