allan-variance

ROS compatible tool to generate Allan Deviation plots

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

Julia package for providing frequency-stability test functions. Implemented so far in overlapping as well as consecutive form for phase or frequency datasets are: allan deviation, modified allan deviation, hadamard deviation and time deviation.

A modern Fortran statistical library.

Inertial measurement unit(IMU) noise analysis with some intuitive explanation.

A Python library for airborne sensors noise characterization and simulation, using Allan variance a sensor models (IMU, GPS, airspeed, baro...)

A simple tool to calibrate the IMU's Allan variance, and a python script for visualization of the results.

✈️ Computationally efficient implementation of the Allan variance.

Fast algorithm for Fully Overlapped Allan Variance and Total Variance

Collected roughly 5 hours and 15 minutes worth of stationary IMU data at a location that is not subject to vibrations. Parsed $VNYMR string, to get accel, gyro, orientation (roll, pitch, yaw) and magnetometer data and analyzed the data for Allan variance.

Code and explanation of Allan variance applied to time series data.

This repository provides the underlying stochastic emulation framework used to simulate introducing a Chip-Scale Optical Clock (CSOC) to the receiver architecture. The mathematical foundations, theoretical discussions, and real-world implications of this architecture

Diagnose ROS 2 sensor streams: rate, jitter, dropouts, noise floor, and whether the declared covariance matches reality.

Loosely-coupled GNSS/INS sensor fusion in Python: Single Point Positioning (SPP), IMU noise characterization (Allan variance, PSD), and an Extended Kalman Filter for integrated navigation.

EECE 5554 (Northeastern) labs: GPS, GNSS-RTK, VectorNav VN-100 IMU drivers, Allan variance, hard/soft-iron magnetometer calibration, complementary-filter yaw fusion, and IMU+GPS dead reckoning on Northeastern's NUANCE car.

Navigation code in Python

A Monte Carlo simulation in Python to model vacuum-induced frequency drifts in atomic clocks, with code and visuals (experimental setup, simulated vs. real-world comparison, and drift graph), as described in "Probing Vacuum-Induced Clock Drifts via Quantum Metrology: A Testable Hypothesis" (DOI: 10.5281/zenodo.15163879). Licensed under GPL 3.0.