Skip to main content

Implementation of TurboEdit algorithm for GNSS data

Project description

TurboEdit Algorithm Implementation

This project provides a C implementation of the TurboEdit algorithm for detecting potential GPS cycle slips, along with a Python wrapper for identifying and correcting those slips when possible.

📖 Reference

  • Original paper: Blewitt, G. (1990)An Automatic Editing Algorithm for GPS Data (Geophysical Research Letters, Vol. 17, No. 3)

🧱 Requirements

🛠️ Build Instructions

  1. Clone this repository.

  2. Make sure libopenblas.dll and cblas.h are available in the lib/ and include/ folders respectively.

  3. From the project root, run:

    run.bat
    

    This will build the shared library and run the example script.


⚙️ C Function Overview

main.cfind_cycle_slips

This is the core C function. It is responsible for detecting potential cycle slips in GPS phase and pseudorange data.

Function Signature

void find_cycle_slips(
    double* phase_L1,      // e.g., L1 carrier phase
    double* phase_L2,      // e.g., L2 carrier phase
    double* range_L1,      // e.g., L1 pseudorange
    double* range_L2,      // e.g., L2 pseudorange
    size_t n_samples       // number of data points
);
  • It is assumed that all arrays have the same length.
  • The function returns a list containing the indices of all detected slips.

Example Usage

int N = 5000;
double phase_L1[N] = {1.0, 2.0, 3.0, ...};
double phase_L2[N] = {5.0, 3.0, 7.0, ...};
double range_L1[N] = {2.0, 5.0, 9.0, ...};
double range_L2[N] = {8.0, 3.0, 6.0, ...};

find_cycle_slips(phase_L1, phase_L2, range_L1, range_L2, N);

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

turboedit-0.0.8.tar.gz (12.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

turboedit-0.0.8-py3-none-any.whl (12.7 MB view details)

Uploaded Python 3

File details

Details for the file turboedit-0.0.8.tar.gz.

File metadata

  • Download URL: turboedit-0.0.8.tar.gz
  • Upload date:
  • Size: 12.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for turboedit-0.0.8.tar.gz
Algorithm Hash digest
SHA256 ee851839b29a359848ddd52bbd93154b40b6de0d49c6ede06be893e5794bbcb2
MD5 38e059748f51329ee579ae90965ce234
BLAKE2b-256 186149f91c32f4510ea66f7b13b85bf5c06ab0264d828a2571cbfb7b38b54e59

See more details on using hashes here.

File details

Details for the file turboedit-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: turboedit-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 12.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for turboedit-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 352e572e4935162da8c1ab3564bf5916bffd75646c61912c15fe07ed97813b33
MD5 93d31d28bef8ea92e16dd866d67d1c40
BLAKE2b-256 2c45f735437d738704da3780a3327f4036084a2cc59c4272cfc223ba42657416

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page