MATLAB-to-pytcl migration map

The explicit function mappings and calling-convention differences between the MATLAB Tracker Component Library and pytcl. Companion to MATLAB TCL parity inventory, which says what is ported; this says how to call it.

Every pytcl target in the tables below was resolved by import when the tables were generated — none is asserted from memory. Signature examples are quoted from the sources of both libraries.

Calling conventions

Naming. MATLAB camelCase becomes snake_case. Families rename systematically: Kalman* → kf_*, disc*Pred → *_predict, *Update → *_update, calc*/get* prefixes are dropped, and the MATLAB distribution-class suffix D disappears (GaussianD → Gaussian).

Argument order is not preserved — check every call. The canonical trap:

MATLAB:  [xUpdate,PUpdate,innov,Pzz,W] = KalmanUpdate(xPred,PPred,z,R,H)
pytcl:   kf_update(x, P, z, H, R) -> KalmanUpdate(x, P, y, S, K, likelihood)

MATLAB puts R before H and makes H optional; pytcl puts H before R and requires both. For a square measurement model a transposed call runs without error and produces garbage.

Return values. MATLAB multiple outputs become NamedTuples, with renames: innov → y, Pzz → S, W (gain) → K. Access by field name; unpacking by position reproduces the MATLAB order only where documented.

Array layout. MATLAB states are xDim×1 column vectors and point sets are one column per point. pytcl filters take 1-D arrays for single states and (N, dim) row-per-item arrays for batches (including the GPU batch API). The coordinate-conversion functions are the exception: they accept the MATLAB-style (3, n) column layout directly, plus (3,) and (n, 3) with automatic transposition.

Indexing and sentinels. MATLAB is 1-based and marks unassigned rows with 0 in its assignment vectors (col4row). pytcl is 0-based and returns explicit pairs plus explicit absence:

MATLAB:  col4row = [1; 2; 0]          % row 3 unassigned
pytcl:   Assignment2DResult(row_indices=[0, 1], col_indices=[0, 1],
                            cost=..., unassigned_rows=[2], unassigned_cols=[])

Units. Both libraries use radians and SI units at API boundaries. No degree/radian conversion is needed when porting call sites.

Time arguments. MATLAB TCL passes two-part Julian dates (Jul1, Jul2) for precision; pytcl time functions take a single float Julian date. Expect ~4e-5 s quantization at contemporary epochs, which matters only for sub-millisecond timing work.

Optional arguments. MATLAB skips optionals positionally with []; pytcl uses keywords. MATLAB variant selectors that were separate arguments (systemType integers) become string keywords (system_type='az-el'), and MATLAB features absent from a pytcl signature — e.g. the bistatic zTx/zRx arguments of Cart2Sphere — are unported, not renamed.

Function mappings

Curated mappings cover the systematic renames; same-name matches are listed for completeness. Absence from these tables means no counterpart exists — see MATLAB TCL parity inventory for the per-area accounting of what is unported.

Assignment Algorithms

MATLAB

pytcl

assign2D

pytcl.assignment_algorithms.two_dimensional.assign2d

assign2DHungarian

pytcl.assignment_algorithms.two_dimensional.hungarian

assign3D

pytcl.assignment_algorithms.three_dimensional.assign3d

calcSetJPDAUpdate

pytcl.assignment_algorithms.jpda.jpda_update

kBest2DAssign

pytcl.assignment_algorithms.two_dimensional.murty

Astronomical Code

MATLAB

pytcl

orbEls2State

pytcl.astronomical.orbital_mechanics.orbital_elements_to_state

propagateOrbitKepler

pytcl.astronomical.orbital_mechanics.kepler_propagate

propagateOrbitSGP4

pytcl.astronomical.sgp4.sgp4_propagate

readJPLEphem

pytcl.astronomical.ephemerides.DEEphemeris

solveKeplersEq

pytcl.astronomical.orbital_mechanics.mean_to_eccentric_anomaly

state2OrbEls

pytcl.astronomical.orbital_mechanics.state_to_orbital_elements

Clustering and Mixture Reduction

MATLAB

pytcl

RunnalsGaussMixRed

pytcl.clustering.gaussian_mixture.reduce_mixture_runnalls

WestGaussReduction

pytcl.clustering.gaussian_mixture.reduce_mixture_west (distance="kl"|"ise" = distMeas, enhanced = algorithm, gamma = gammaVal, k_max = KMax)

kMeanspp

pytcl.clustering.kmeans.kmeans

Container Classes

MATLAB

pytcl

ClusterSet

pytcl.containers.cluster_set.ClusterSet

kdTree

pytcl.containers.kd_tree.KDTree

metricTree

pytcl.containers.vptree.VPTree

Coordinate Systems

MATLAB

pytcl

BesselEpoch2TDB

pytcl.astronomical.time_scales.besselian_epoch2tdb

Cal2UTC

pytcl.astronomical.time_systems.cal_to_jd

Cart2Ellipse

pytcl.coordinate_systems.conversions.ecef2geodetic

Cart2Pol

pytcl.coordinate_systems.conversions.cart2pol

Cart2Ruv

pytcl.coordinate_systems.conversions.cart2ruv

Cart2Sphere

pytcl.coordinate_systems.conversions.cart2sphere

ECEF2ENU

pytcl.coordinate_systems.conversions.ecef2enu

ECEF2NED

pytcl.coordinate_systems.conversions.ecef2ned

ENU2ECEF

pytcl.coordinate_systems.conversions.enu2ecef

HessianChainRule

pytcl.coordinate_systems.hessians.measurement_hessians.hessian_chain_rule

HessianOfAffineTransFun

pytcl.coordinate_systems.hessians.measurement_hessians.hessian_of_affine_trans_fun

CartCD2ITRS

pytcl.magnetism.coordinates.cart_cd2itrs

ITRS2CartCD

pytcl.magnetism.coordinates.itrs2cart_cd

ITRS2MagneticApex

pytcl.magnetism.coordinates.itrs2magnetic_apex

ITRS2QD

pytcl.magnetism.coordinates.itrs2qd

JulDate2JulEpoch

pytcl.astronomical.time_scales.jul_date2jul_epoch

JulEpoch2JulDate

pytcl.astronomical.time_scales.jul_epoch2jul_date

MMOSPA2Tar2D

pytcl.performance_evaluation.mospa.mmospa2tar_2d

MMOSPAApprox

pytcl.performance_evaluation.mospa.mmospa_approx

NED2ECEF

pytcl.coordinate_systems.conversions.ned2ecef

NRLMSISE00Alt4Pres

pytcl.atmosphere.nrlmsise00.nrlmsise00_pressure_altitude

NRLMSISE00GasTemp

pytcl.atmosphere.nrlmsise00.nrlmsise00_gas_temp

TAI2TT

pytcl.astronomical.time_systems.tai_to_tt

TDOAGradient

pytcl.coordinate_systems.jacobians.component_gradients.tdoa_gradient

TCB2TDB

pytcl.astronomical.time_scales.tcb2tdb

TCG2TT

pytcl.astronomical.time_scales.tcg2tt

TDB2BesselEpoch

pytcl.astronomical.time_scales.tdb2besselian_epoch

TDB2TCB

pytcl.astronomical.time_scales.tdb2tcb

TDB2TT

pytcl.astronomical.time_scales.tdb2tt

TT2GAST

pytcl.astronomical.time_scales.tt2gast

TT2GMST

pytcl.astronomical.time_scales.tt2gmst

TT2LAST

pytcl.astronomical.time_scales.tt2last

TT2LMST

pytcl.astronomical.time_scales.tt2lmst

TT2TCG

pytcl.astronomical.time_scales.tt2tcg

TT2TDB

pytcl.astronomical.time_scales.tt2tdb

UKFUpdate

pytcl.dynamic_estimation.kalman.unscented.ukf_update

UTC2TAI

pytcl.astronomical.time_systems.utc_to_tai

discUKFPred

pytcl.dynamic_estimation.kalman.unscented.ukf_predict

ellips2Cart

pytcl.coordinate_systems.conversions.geodetic2ecef

findUTMZone

pytcl.coordinate_systems.projections.utm_central_meridian

pol2Cart

pytcl.coordinate_systems.conversions.spherical.pol2cart

quat2RotMat

pytcl.coordinate_systems.rotations.rotations.quat2rotmat

rotMat2Quat

pytcl.coordinate_systems.rotations.rotations.rotmat2quat

ruv2Cart

pytcl.coordinate_systems.conversions.spherical.ruv2cart (aligned monostatic) / pytcl.coordinate_systems.conversions.uv.ruv2cart_bistatic (full bistatic)

Cart2Ruv

pytcl.coordinate_systems.conversions.uv.cart2ruv_bistatic

ruv2Ruv

pytcl.coordinate_systems.conversions.uv.ruv2ruv

uv2SpherAng

pytcl.coordinate_systems.conversions.uv.uv2spher_ang

spherAng2Uv

pytcl.coordinate_systems.conversions.uv.spher_ang2uv

stateRuv2Cart

pytcl.coordinate_systems.conversions.uv.state_ruv2cart

cameraCoords2UVCoords

pytcl.coordinate_systems.conversions.uv.camera_coords2uv

Dynamic Estimation

MATLAB

pytcl

EKFUpdate

pytcl.dynamic_estimation.kalman.extended.ekf_update

EnKFDiscPred

pytcl.dynamic_estimation.kalman.ensemble.enkf_predict

EnKFUpdate

pytcl.dynamic_estimation.kalman.ensemble.enkf_update

ESRIFDiscPred

pytcl.dynamic_estimation.information_filter.esrif_predict

ESRIFUpdate

pytcl.dynamic_estimation.information_filter.esrif_update

discQMCKalPred

pytcl.dynamic_estimation.kalman.qmc.qmc_kf_predict

QMCKalUpdate

pytcl.dynamic_estimation.kalman.qmc.qmc_kf_update

QMCKalMeasPred

pytcl.dynamic_estimation.kalman.qmc.qmc_kf_meas_pred

QMCKalUpdateWithPred

pytcl.dynamic_estimation.kalman.qmc.qmc_kf_update_with_pred

calcQMCKalmanGain

pytcl.dynamic_estimation.kalman.qmc.calc_qmc_kalman_gain

BLUEPolarMeasUpdateApprox

pytcl.dynamic_estimation.kalman.blue.blue_polar_meas_update

BLUESpherMeasUpdateApprox

pytcl.dynamic_estimation.kalman.blue.blue_spher_meas_update

batchLSLinMeasLinDyn

pytcl.dynamic_estimation.batch_estimation.batch_ls_lin_meas_lin_dyn

batchLSNonlinMeasLinDyn

pytcl.dynamic_estimation.batch_estimation.batch_ls_nonlin_meas_lin_dyn

batchLSNonlinMeasLinDynLM

pytcl.dynamic_estimation.batch_estimation.batch_ls_nonlin_meas_lin_dyn_lm

batchLSNonlinMeasNonlinDyn

pytcl.dynamic_estimation.batch_estimation.batch_ls_nonlin_meas_nonlin_dyn

batchLSNonlinMeasNonlinDynLM

pytcl.dynamic_estimation.batch_estimation.batch_ls_nonlin_meas_nonlin_dyn_lm

twoPointDiffInit

pytcl.dynamic_estimation.batch_estimation.two_point_diff_init

HInfinityUpdate

pytcl.dynamic_estimation.kalman.h_infinity.hinf_update

KalmanBatchSmoother

pytcl.dynamic_estimation.batch_smoothers.kalman_batch_smoother

FPInfoBatchSmoother

pytcl.dynamic_estimation.batch_smoothers.fp_info_batch_smoother

EKalmanBatchSmoother

pytcl.dynamic_estimation.batch_smoothers.ekalman_batch_smoother

sqrtCubKalBatchSmoother

pytcl.dynamic_estimation.batch_smoothers.sqrt_cub_kal_batch_smoother

sqrtInfoBatchSmoother

pytcl.dynamic_estimation.batch_smoothers.sqrt_info_batch_smoother

KalmanIntervalSmoother

pytcl.dynamic_estimation.batch_smoothers.kalman_interval_smoother

FPInfoIntervalSmoother

pytcl.dynamic_estimation.batch_smoothers.fp_info_interval_smoother

KalmanFIRSmoother

pytcl.dynamic_estimation.batch_smoothers.kalman_fir_smoother

KalmanFIRSmootherCoeffs

pytcl.dynamic_estimation.batch_smoothers.kalman_fir_smoother_coeffs

uv2SpherAngCubature

pytcl.coordinate_systems.conversions.covariance_conversions.uv2spher_ang_cubature

ruv2RuvCubature

pytcl.coordinate_systems.conversions.covariance_conversions.ruv2ruv_cubature

cameraCoords2UVCoordsCubature

pytcl.coordinate_systems.conversions.covariance_conversions.camera_coords2uv_cubature

monostatRuv2CartTaylor

pytcl.coordinate_systems.conversions.covariance_conversions.monostat_ruv2cart_taylor

speedOfSoundInAir

pytcl.atmosphere.models.speed_of_sound_gas_table (algorithm 0) / speed_of_sound_ideal_gas (1) / speed_of_sound_cramer (2)

calcCartRRJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_cart_rr_jacob

calcPolarConvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_polar_conv_jacob

calcPolarJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_polar_jacob

calcPolarRRConvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_polar_rr_conv_jacob

calcPolarRRJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_polar_rr_jacob

calcRuvConvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_ruv_conv_jacob

calcRuvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_ruv_jacob

calcRuvRRConvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_ruv_rr_conv_jacob

calcRuvRRJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_ruv_rr_jacob

calcSpherConvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_spher_conv_jacob

calcSpherInvJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_spher_inv_jacob

calcSpherJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_spher_jacob

calcSpherRRJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.calc_spher_rr_jacob

normVecJacob

pytcl.coordinate_systems.jacobians.measurement_jacobians.norm_vec_jacob

polAngGradient

pytcl.coordinate_systems.jacobians.component_gradients.pol_ang_gradient

rangeGradient

pytcl.coordinate_systems.jacobians.component_gradients.range_gradient

rangeRateGradient

pytcl.coordinate_systems.jacobians.component_gradients.range_rate_gradient

spherAngGradient

pytcl.coordinate_systems.jacobians.component_gradients.spher_ang_gradient

uGradient2D

pytcl.coordinate_systems.jacobians.component_gradients.u_gradient_2d

uGradient3D

pytcl.coordinate_systems.jacobians.component_gradients.u_gradient_3d

uvGradient

pytcl.coordinate_systems.jacobians.component_gradients.uv_gradient

calcSpherConvHessian

pytcl.coordinate_systems.hessians.measurement_hessians.calc_spher_conv_hessian

calcSpherHessian

pytcl.coordinate_systems.hessians.measurement_hessians.calc_spher_hessian

calcSpherInvHessian

pytcl.coordinate_systems.hessians.measurement_hessians.calc_spher_inv_hessian

polarU2DCrossGrad

pytcl.coordinate_systems.hessians.cross_derivatives.polar_u_2d_cross_grad

polarU2DCrossHessian

pytcl.coordinate_systems.hessians.cross_derivatives.polar_u_2d_cross_hessian

rangeHessian

pytcl.coordinate_systems.hessians.component_hessians.range_hessian

spherAngHessian

pytcl.coordinate_systems.hessians.component_hessians.spher_ang_hessian

spherAngUvCrossGrad

pytcl.coordinate_systems.hessians.cross_derivatives.spher_ang_uv_cross_grad

spherAngUvCrossHessian

pytcl.coordinate_systems.hessians.cross_derivatives.spher_ang_uv_cross_hessian

uHessian2D

pytcl.coordinate_systems.hessians.component_hessians.u_hessian_2d

uHessian3D

pytcl.coordinate_systems.hessians.component_hessians.u_hessian_3d

uPolar2DCrossGrad

pytcl.coordinate_systems.hessians.cross_derivatives.u_polar_2d_cross_grad

uPolar2DCrossHessian

pytcl.coordinate_systems.hessians.cross_derivatives.u_polar_2d_cross_hessian

uvHessian

pytcl.coordinate_systems.hessians.component_hessians.uv_hessian

uvSpherAngCrossGrad

pytcl.coordinate_systems.hessians.cross_derivatives.uv_spher_ang_cross_grad

uvSpherAngCrossHessian

pytcl.coordinate_systems.hessians.cross_derivatives.uv_spher_ang_cross_hessian

calcMOSPAError

pytcl.performance_evaluation.mospa.calc_mospa_error

partitionIntervals

pytcl.scheduling.partition_intervals

scheduleIntervals

pytcl.scheduling.schedule_intervals

scheduleMinLatenessDense

pytcl.scheduling.schedule_min_lateness_dense

scheduleWeightedIntervals

pytcl.scheduling.schedule_weighted_intervals

geogHeading2Mag

pytcl.magnetism.coordinates.geog_heading2mag

magHeading2Geog

pytcl.magnetism.coordinates.mag_heading2geog

spherCD2SpherITRS

pytcl.magnetism.coordinates.spher_cd2spher_itrs

spherITRS2SpherCD

pytcl.magnetism.coordinates.spher_itrs2spher_cd

trace2EarthMagApex

pytcl.magnetism.coordinates.trace2earth_mag_apex

RiccatiPredNoClutter

pytcl.dynamic_estimation.performance_prediction.riccati_pred_no_clutter

RiccatiPostNoClutter

pytcl.dynamic_estimation.performance_prediction.riccati_post_no_clutter

FIMPredNoClutter

pytcl.dynamic_estimation.performance_prediction.fim_pred_no_clutter

FIMPostNoClutter

pytcl.dynamic_estimation.performance_prediction.fim_post_no_clutter

PCRLBPredAdd

pytcl.dynamic_estimation.performance_prediction.pcrlb_pred_add

PCRLBUpdateAddNoClutter

pytcl.dynamic_estimation.performance_prediction.pcrlb_update_add_no_clutter

correctAssocProbApprox

pytcl.dynamic_estimation.performance_prediction.correct_assoc_prob_approx

trackPurityLinApprox

pytcl.dynamic_estimation.performance_prediction.track_purity_lin_approx

linTargetIsUntrackable

pytcl.dynamic_estimation.performance_prediction.lin_target_is_untrackable

DiscPriorPModel

pytcl.dynamic_estimation.performance_prediction.disc_prior_p_model

sqrtDiscCubKalPred

pytcl.dynamic_estimation.kalman.sqrt_cubature.sqrt_ckf_predict

sqrtCubKalUpdate

pytcl.dynamic_estimation.kalman.sqrt_cubature.sqrt_ckf_update

KalmanUpdate

pytcl.dynamic_estimation.kalman.linear.kf_update

cubKalUpdate

pytcl.dynamic_estimation.kalman.unscented.ckf_update

discCubKalPred

pytcl.dynamic_estimation.kalman.unscented.ckf_predict

discEKFPred

pytcl.dynamic_estimation.kalman.extended.ekf_predict

discKalPred

pytcl.dynamic_estimation.kalman.linear.kf_predict

infoFilterDiscPred

pytcl.dynamic_estimation.kalman.linear.information_filter_predict

infoFilterUpdate

pytcl.dynamic_estimation.kalman.linear.information_filter_update

multipleModelPred

pytcl.dynamic_estimation.imm.imm_predict (IMM only; mixes before predicting, whereas MATLAB predicts unmixed and mixes inside the update – results differ, see the imm module docstring; no GPB1/GPB2/AMM, equal state dimensions only)

multipleModelUpdate

pytcl.dynamic_estimation.imm.imm_update (same ordering caveat as imm_predict)

sqrtDiscKalPred

pytcl.dynamic_estimation.kalman.square_root.srkf_predict

sqrtKalmanUpdate

pytcl.dynamic_estimation.kalman.square_root.srkf_update

Dynamic Models

MATLAB

pytcl

FCoordTurn2D

pytcl.dynamic_models.discrete_time.coordinated_turn.f_coord_turn_2d

FGaussMarkov

pytcl.dynamic_models.discrete_time.singer.f_singer – order 2 only. MATLAB’s is arbitrary-order; orders 0 (Ornstein-Uhlenbeck) and 1 (integrated OU) have no pytcl counterpart.

FPolyKal

pytcl.dynamic_models.discrete_time.polynomial.f_poly_kal (arbitrary order, matching MATLAB; f_constant_velocity is the order=1 case)

QCoordTurn

pytcl.dynamic_models.process_noise.q_coord_turn_2d

QGaussMarkov

pytcl.dynamic_models.process_noise.q_singer – order 2 only, same limitation as FGaussMarkov above.

QPolyKal

pytcl.dynamic_models.process_noise.q_poly_kal (arbitrary order, matching MATLAB; q_constant_velocity is the order=1 case)

Gravity

MATLAB

pytcl

getEGMGeoidHeight

pytcl.gravity.egm.geoid_height

gravSolidTideOffset

pytcl.gravity.tides.solid_earth_tide_displacement

Magnetism

MATLAB

pytcl

getIGRFCoeffs

pytcl.magnetism.igrf.create_igrf14_coefficients

getWMMCoeffs

pytcl.magnetism.wmm.wmm

Mathematical Functions

MATLAB

pytcl

BellNumber

pytcl.mathematical_functions.combinatorics.combinatorics.bell_number

BetaD

pytcl.mathematical_functions.statistics.distributions.Beta

CatalanNumber

pytcl.mathematical_functions.combinatorics.combinatorics.catalan_number

ChiSquareD

pytcl.mathematical_functions.statistics.distributions.ChiSquared

Debye

pytcl.mathematical_functions.special_functions.debye.debye

ExponentialD

pytcl.mathematical_functions.statistics.distributions.Exponential

GammaD

pytcl.mathematical_functions.statistics.distributions.Gamma

GaussianD

pytcl.mathematical_functions.statistics.distributions.Gaussian

GaussianMixtureD

pytcl.clustering.gaussian_mixture.GaussianMixture

MarcumQ

pytcl.mathematical_functions.special_functions.marcum_q.marcum_q

PoissonD

pytcl.mathematical_functions.statistics.distributions.Poisson

StudentTD

pytcl.mathematical_functions.statistics.distributions.StudentT

UniformD

pytcl.mathematical_functions.statistics.distributions.Uniform

VonMisesD

pytcl.mathematical_functions.statistics.distributions.VonMises

WishartD

pytcl.mathematical_functions.statistics.distributions.Wishart

cholSemiDef

pytcl.mathematical_functions.basic_matrix.decompositions.chol_semi_def

commutationMatrix

pytcl.mathematical_functions.basic_matrix.special_matrices.commutation_matrix

duplicationMatrix

pytcl.mathematical_functions.basic_matrix.special_matrices.duplication_matrix

eliminationMatrix

pytcl.mathematical_functions.basic_matrix.special_matrices.elimination_matrix

erfI

pytcl.mathematical_functions.special_functions.error_functions.erfi

fallingFactorial

pytcl.mathematical_functions.special_functions.hypergeometric.falling_factorial

getNextPermutation

pytcl.mathematical_functions.combinatorics.next_permutation

nullspace

pytcl.mathematical_functions.basic_matrix.decompositions.null_space

perm

unported – MATLAB’s perm is the matrix permanent (Ryser); gamma_functions.perm is the permutation coefficient nPk, a different function (this row previously mismapped the two)

polyRootsMultiDim

pytcl.mathematical_functions.polynomials.poly_roots_multi_dim

polygamma

pytcl.mathematical_functions.special_functions.gamma_functions.polygamma

spherHarmonicEval

pytcl.gravity.spherical_harmonics.spherical_harmonic_sum

subfactorial

pytcl.mathematical_functions.combinatorics.combinatorics.subfactorial

totalLeastSquares

pytcl.static_estimation.least_squares.total_least_squares

tria

pytcl.mathematical_functions.basic_matrix.decompositions.tria

triangleArea

pytcl.mathematical_functions.geometry.geometry.triangle_area

vec

pytcl.core.array_utils.vec

Performance Evaluation

MATLAB

pytcl

calcNEES

pytcl.performance_evaluation.estimation_metrics.nees

calcRMSE

pytcl.performance_evaluation.estimation_metrics.rmse

Static Estimation

MATLAB

pytcl

TDOAOnlyStaticLocEst

pytcl.static_estimation.localization.tdoa_only_static_loc_est

rangeOnlyStaticLocEstNP

pytcl.static_estimation.localization.range_only_static_loc_est_np

RROnlyStaticVelEst

pytcl.static_estimation.localization.rr_only_static_vel_est

getAdHocCartCov

pytcl.static_estimation.localization.ad_hoc_cart_cov

TDOA2Cart

pytcl.static_estimation.localization.tdoa_to_cart

rangeRate2StaticPos

pytcl.static_estimation.localization.range_rate_to_static_pos

rangeRateRatio2StaticPos2D

pytcl.static_estimation.localization.range_rate_ratio_to_static_pos_2d

rotAxis2Vec

pytcl.coordinate_systems.rotations.rot_axis_to_vec

directionOnlyStaticLocEst

pytcl.static_estimation.localization.direction_only_static_loc_est

computePolyMeasFIM

pytcl.static_estimation.localization.poly_meas_fim