geoveil-mp

GNSS code multipath analysis — Rust core, Python API

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Code multipath RMS by signal — real 24 h / 30 s multi-GNSS data

Anubis/TEQC-style code multipath estimation for every pseudorange observable in a RINEX file — per-code MP linear combinations, arc-wise ambiguity debiasing, interval-aware cycle-slip detection, and SNR series export. Built for continuous station monitoring on long time series of 1 s or 30 s data, following the methodology of Hunegnaw & Teferle (Sensors 2022).

Part of the GeoVeil suite together with geoveil-cn0 (CN0 signal quality and threat detection).

Live demo: batch.geoveil-rinex.eu — the GeoVeil batch dashboard runs this library in production: per-code MP RMS, cycle-slip counts, SNR-residual wavelet spectra, Fresnel zone maps, and long-term multipath trend monitoring on daily 30 s station data.

Installation

pip install geoveil-mp

Pre-built wheels for Linux, Windows, and macOS — no Rust toolchain required.

# Rust
[dependencies]
geoveil_mp = "0.2"

Quick Start

import geoveil_mp as gm

obs = gm.read_rinex_obs("BOR100POL_R_20240010000_01D_30S_MO.rnx")
print(obs.num_epochs, obs.num_satellites, obs.interval)   # 2880 104 30.0

analyzer = gm.MultipathAnalyzer(obs, elevation_cutoff=10.0, systems=["G", "R", "E", "C"])
results = analyzer.analyze()

# One statistics row per signal code: GPSM1C, GPSM2W, GALM8X, GLOM1P, BDSM2I, ...
for s in sorted(results.statistics, key=lambda s: s.signal):
    print(f"{s.signal}  rms={s.rms:.3f} m  n={s.count}  slips={s.cycle_slips}")

# Cycle slips, counted per carrier-phase signal
print(results.cycle_slip_counts)          # {'GPSL1C': 210, 'GPSL2W': 168, ...}

# Attach precise elevations from SP3 (recomputes elevation-weighted RMS)
sp3 = gm.read_sp3("COD0MGXFIN_20240010000_01D_05M_ORB.SP3")
computed, failed = results.compute_elevations(sp3, obs.approx_position)

# SNR time series per satellite and S-code (for SNR-residual multipath analysis)
for series in obs.get_snr_series("G07"):
    print(series.code, len(series), series.values[:3])
Debiased MP series for one satellite — the oscillation is site multipath

What it computes

Per-code multipath combinations

For every pseudorange code observable P_k (C1C, C1X, C2W, C2X, C5X, ...), the ionosphere-free, geometry-free multipath combination is formed with two carrier phases:

MP_k = P_k − (1 + 2/(α−1))·Φ_i + (2/(α−1))·Φ_j        α = (f_i / f_j)²
  • Φ_i — phase on the code's own band; Φ_j — phase on a partner band chosen from a deterministic per-system priority list
  • GLONASS FDMA frequencies use the per-satellite channel numbers from the RINEX header
  • The phase-ambiguity bias is removed per continuous arc: whole-arc mean for short arcs, centered moving average (default 1500 s) for long ones
  • Arcs reset at data gaps, cycle slips, and MP jumps — slips never smear into the RMS

Signals are named in the convention used by GNSS monitoring literature: GPSM1C, GPSM2W, GLOM1P, GALM8X, BDSM2I.

Cycle-slip detection

Three detectors, thresholds that scale with the sampling interval (|Δ| > base + rate·dt):

Method Test Default threshold
Geometry-free ΔGF per phase code vs. reference band 0.10 m + 0.003·dt
Code-phase Δ(Φ − P) per code 5.0 m + 0.10·dt
LLI RINEX loss-of-lock flags (phase only) —

At 30 s sampling this detects single-cycle L1 slips (GF signature ≈ 0.29 m vs. threshold 0.19 m) — rate-based thresholds tuned for 1 s data cannot. Slips are attributed and counted per signal code (GPSL2W, GLOL1C, ...).

SNR series export

RinexObsData.get_snr_series(satellite, code=None) returns per-S-code time series (unix-second timestamps, dB-Hz values) — the input for SNR-residual multipath analysis (polynomial detrending, wavelet spectra) without re-parsing the file.

Results on real data

24 h of BOR1 (EPN, Poland) 30 s multi-GNSS RINEX 3, default settings:

Constellation Best signal RMS Worst signal RMS
Galileo E5 AltBOC (M8X) 0.165 m E5b (M7X) 0.395 m
GPS L2C (M2X) 0.312 m L1 C/A (M1C) 0.342 m
BeiDou B2I (M7I) 0.295 m B3I (M6I) 0.354 m
GLONASS L2 P (M2P) 0.318 m L1 C/A (M1C) 0.566 m

The ranking (Galileo AltBOC best, GLONASS C/A worst) reproduces published station-monitoring results. Parsing the file takes ~0.4 s; the full 15-signal analysis with slip detection ~1.4 s (306 k estimates).

Analyzer options

gm.MultipathAnalyzer(
    obs,
    elevation_cutoff=10.0,        # degrees; applied when elevations are known
    systems=["G", "R", "E", "C"], # G R E C J S I
    bias_window_seconds=1500.0,   # moving-average window; None = whole-arc mean
    min_arc_seconds=300.0,        # drop shorter arcs
    arc_gap_factor=5.0,           # arc break at gap > factor × interval
    include_codes=["C1C", "GC5X"],# restrict codes ("C1C" any system, "GC5X" GPS only)
    exclude_codes=[],
    max_epochs=None,              # uniform decimation guard for huge files
    detect_cycle_slips=True,
    ion_delta_base=0.10, ion_delta_rate=0.003,   # GF slip threshold (m, m/s)
    cp_delta_base=5.0,   cp_delta_rate=0.10,     # code-phase slip threshold
)

API surface

Object Key members
RinexObsData num_epochs, num_satellites, interval, marker_name, approx_position, satellites(), observation_types(sys), glonass_fcn(), snr_codes(sat), get_snr_series(sat, code=None)
MultipathAnalyzer analyze() → AnalysisResults
AnalysisResults estimates, statistics, cycle_slips, cycle_slip_counts, total_estimates(), total_cycle_slips(), compute_elevations(sp3, receiver)
MultipathEstimate satellite, system, signal ("C1C"), epoch, mp_value, elevation, azimuth, snr
MultipathStats signal ("GPSM1C"), system, code, count, rms, weighted_rms, mean, std_dev, min, max, cycle_slips
CycleSlip satellite, epoch, signal, system, magnitude, threshold, method ("gf", "code_phase", "lli")
SnrSeries satellite, system, code, times, values, epochs_iso()
Sp3Data satellites(), get_position(sat, epoch), num_epochs, interval
Functions read_rinex_obs, read_rinex_obs_bytes, read_sp3, calculate_azel, compute_elevation, get_frequency, get_wavelength, version

Supported input: RINEX v2 / v3 / v4 observation files, SP3-c/d orbits, broadcast ephemerides (Keplerian + GLONASS RK4).

Pipeline

flowchart LR
    A[RINEX v2/v3/v4] --> B[Parse<br/>code + phase + SNR]
    B --> C[Per-code combos<br/>deterministic phase pairing]
    B --> D[Cycle-slip detection<br/>GF · code-phase · LLI]
    D --> E[Arc splitting]
    C --> E
    E --> F[Ambiguity debiasing<br/>mean / moving average]
    F --> G[Per-signal statistics<br/>RMS · weighted RMS]
    H[SP3 orbits] -.-> I[Elevations / azimuths]
    I -.-> G

CLI

geoveil-mp analyze --obs station.rnx --sp3 orbits.sp3 --elevation 10 --output results/
geoveil-mp info --obs station.rnx

References

  • Hunegnaw, A.; Teferle, F.N. Evaluation of the Multipath Environment Using Electromagnetic-Absorbing Materials at Continuous GNSS Stations. Sensors 2022, 22, 3384.
  • Estey, L.H.; Meertens, C.M. TEQC: The Multi-Purpose Toolkit for GPS/GLONASS Data. GPS Solutions 1999, 3, 42–49.
  • Václavovic, P.; Douša, J. G-Nut/Anubis: Open-Source Tool for Multi-GNSS Data Monitoring. IAG Symposia 2016, 143.

License

MIT — see LICENSE.

Author

Miluta Dulea-Flueras — miluta.flueras@cartografie.ro

Citation

@software{geoveil_mp,
  author  = {Dulea-Flueras, Miluta},
  title   = {geoveil-mp: GNSS Code Multipath Analysis Library},
  year    = {2026},
  version = {0.2.0},
  url     = {https://github.com/miluta7/geoveil-mp},
  license = {MIT}
}

Project links

Data verified by PyPI on Jul 3, 2026
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Avatar for miluta from gravatar.com miluta

Credits

Author/Maintainer: Miluta-Dulea Flueras

GitHub Statistics

Data verified by PyPI on Jul 3, 2026
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License

MIT License

Requires

Python >=3.8

Provides Extra

all dev

Tags

gnss gps rinex multipath galileo glonass beidou satellite navigation positioning sp3 ephemeris

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The following attestation bundles were made for geoveil_mp-0.2.1-cp39-cp39-macosx_11_0_arm64.whl:

Publisher: ci.yml on miluta7/geoveil-mp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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