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Questions tagged [ekf]

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I am attempting to have a baro-altimeter aid my INS in a loosely-coupled fashion. My error state vector within my KF is in the ECI frame, as I am estimation position, velocity, attitude and INS errors....
petonic's user avatar
1 vote
0 answers
28 views

I am developing a loosely-coupled GNSS/INS with a discrete EKF navigator for a 6-DOF missile model in Simulink. Currently, my position, velocity, attitude, and bias errors are within my 3-sigma bounds ...
user78367's user avatar
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1 answer
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The paper "Nonlinear Estimation With Radar Observations" (Kenneth S. Miller, Donald M. Leskiw; 1982 IEEE) reports on an improved method for radar tracking with an Extended Kalman Filter (EKF)...
Lukasz's user avatar
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What is the approach to fuse multiple IMUs in EKF framework? Normally you take the IMU as the motion model and the sense step to consist of other sensors but when have multiple IMUs operating, what is ...
FourierFlux's user avatar
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I'm looking at fusing the output of two SLAM packages. In the examples code given an EKF is referenced for this fusion but I can't find the implementation. I don't understand the value of the EKF ...
FourierFlux's user avatar
1 vote
1 answer
199 views

Looking at the EKF formulation for Gyroscopes in more depth I'm wondering, why can't we use Euler Angles in the Error State EKF framework for error and covariance propagation instead of Quaternions? ...
FourierFlux's user avatar
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1 answer
643 views

I have been reading about kalman filters for IMU and I am confused on the error state formulation. Reading this paper, starting on page 63 and going onto 64 the paper addresses the reset of the error ...
FourierFlux's user avatar
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1 answer
50 views

In GPS IMU nav systems Velocity and angular position are not explicitly measured states yet at each timestep it's necessary in order to integrate IMU information. I'm curious how is this dealt with? ...
FourierFlux's user avatar
1 vote
1 answer
277 views

EKF filter normally has a predict + update step, I am curious - how do you evolve the covariance of the state without one of the steps? In essence I want to evolve the state of an object using an IMU ...
FourierFlux's user avatar