14 releases

0.2.0-alpha-1 Sep 4, 2024
0.1.14 Apr 27, 2024
0.1.11 Feb 25, 2024
0.1.8 Dec 28, 2023
0.1.6 Nov 27, 2023

#1546 in Parser implementations

Download history 6/week @ 2024-07-25 3/week @ 2024-08-01 80/week @ 2024-08-22 78/week @ 2024-08-29 48/week @ 2024-09-05 29/week @ 2024-09-12 22/week @ 2024-09-19 21/week @ 2024-09-26 14/week @ 2024-10-03 1/week @ 2024-10-10

61 downloads per month
Used in rinex-cli

MIT/Apache

1.5MB
31K SLoC

RINEX / GNSS QC

The QC library was created to analyze complex GNSS datasets.
It currently accepts RINEX (all supported formats) and/or SP3 files, which are the basic requirements to precise navigation.

The Qc library generates a QcReport (also refered to as output product), from the input context. The report content depends on the provided combination of input files (also refered to as, input products). QC standing for Quality Control, as it is a widely spread term in preprocessing applications, the QC may apply to navigation applications, atmosphere analysis and timing applications.

The QcReport comprises one tab per input product (dedicated tab), may have tabs depending on the operations that the input context allows. For example SP3 and/or BRDC RINEX will enable the Orbit Projection tab.

The report is render in HTML and that is currently the only format we can render.

QcReport allows customization with extra chapters, so you can append as many chapters as you need, depending on your requirements and capabilities, as long as you can implement the rendition Trait.

Create features

  • activate the sp3 feature to support SP3 format
  • activate the plot feature for your reports to integrate graphs analysis
  • activate the flate2 feature to directly load Gzip compressed input products

RINEX analysis

Parse one or more RINEX files and render an analysis. When built with flate2 support, gzip compressed files can be naturally loaded:

use rinex_qc::prelude::*;

// Build a setup
// This will deploy with latest Almanac set for high performances
let mut ctx = QcContext::new()
    .unwrap();

let cfg = QcConfig::default(); // basic

let path = Path::new(
    "../test_resources/NAV/V3/ESBC00DNK_R_20201770000_01D_MN.rnx.gz"
);
let rinex = Rinex::from_path(&path)
    .unwrap();
ctx.load_rinex(&path, rinex);

// Generate a report
let report = QcReport::new(&ctx, cfg);
let _ = report.render().into_string();

SP3 analysis

The QcReport works on any file combination and any supported input product. The resulting report solely depends on the provided product combination.

Once again, gzip compressed files are naturally supported when built with flate2 feature:

use rinex_qc::prelude::*;

// Build a setup
let mut ctx = QcContext::new()
    .unwrap();

let cfg = QcConfig::default(); // basic

let path = Path::new("../test_resources/SP3/GRG0MGXFIN_20201770000_01D_15M_ORB.SP3.gz");
let sp3 = SP3::from_path(&path)
    .unwrap();

ctx.load_sp3(&path, sp3);

// Generate a report
let report = QcReport::new(&ctx, cfg);
let _ = report.render().into_string();

SP3 / NAV RINEX

When both SP3 and NAV RINEX files exist, we prefer SP3 for everything related to Orbit states, because they provide highest accuracy. You can force the consideration (along SP3) by using a custom QcConfig:

use rinex_qc::prelude::*;

// Build a setup
let mut ctx = QcContext::new()
    .unwrap();
let cfg = QcConfig::default(); // basic

PPP analysis

PPP compliant contexts are made of RINEX files and SP3 files, for the same time frame. The QcSummary report will let you know how compliant your input context is and what may restrict performances:

use rinex_qc::prelude::*;

// basic setup
let mut ctx = QcContext::new().unwrap();
let cfg = QcConfig::default();

Custom chapters

Format your custom chapters as QcExtraPage so you can create your own report!

use rinex_qc::prelude::*;

let mut ctx = QcContext::new().unwrap();
let cfg = QcConfig::default(); // basic setup

More info

Refer to the RINEX Wiki pages hosted on Github and the tutorial scripts data base, shipped with the RINEX library, for high level examples.

Dependencies

~31–44MB
~683K SLoC