IEEE

Improved Pseudolinear Kalman Filter Algorithms for Bearings-Only Target Tracking

Abstract: Despite its stability and computational complexity advantages, the pseudolinear Kalman filter (PLKF) suffers from severe bias problems in bearings-only target tracking applications. This ...
IEEE

A multiobjective simulated Kalman filter optimization algorithm

Abstract: This paper presents a new multiobjective type optimization algorithm known as a Multiobjective Optimization Simulated Kalman Filter (MOSKF). It is a further enhancement of a single-objective ...
GitHub

purvanyaTyagi/ROLL-and-PITCH-estimation-through-extended-kalman-filter

A real-time attitude estimation system that uses an Extended Kalman Filter (EKF) to estimate roll and pitch angles from IMU sensor data. The system combines ESP32 microcontroller with LSM9DS1 IMU for ...
Simon Fraser University

Example 10.3: Kalman Filtering: Estimating an SSM Using the EM Algorithm

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...
GitHub

bobondemon/Extended-Kalman-Filter-Project

The px, py, vx, vy output coordinates have an RMSE <= [0.08, 0.08, 0.60, 0.60] when using the file: "sample-laser-radar-measurement-data-1.txt". The px, py, vx, vy ...