GNSS Signal Diffraction Effects in High Precision Positioning.
Doktorsavhandling, 2026

High-precision GNSS is fundamental to modern geodesy. Standard processing assumes line-of-sight signal propagation, treating residual non-line-of-sight effects as multipath or random noise. This thesis shows that diffraction caused by signal bending around obstacles, is a distinct, deterministic error source that biases key geodetic parameters (coordinates, troposphere) in ways that averaging or double-differencing cannot remove. Unmodeled diffraction introduces slowly varying carrier-phase biases that affect station coordinates (especially the vertical component), hinder ambiguity resolution, and mimic tropospheric zenith delays. Under common field conditions (e.g., a 1 m obstacle at 1 m distance), biases can reach decimeter levels, leading to false interpretations of tectonic motion, seasonal deformation, or local subsidence. Because diffraction correlates with satellite geometry, it aliases into tropospheric estimates, degrading climate-related GNSS applications. The DOP metric alone is insufficient, and conventional multipath mitigation (choke rings, absorbers) is largely ineffective against diffraction. This thesis makes four novel contributions. First, it clearly distinguishes diffraction from multipath using GNSS SNR observables and carrier-phase residuals (from PPP and double differences), resolving a long-standing ambiguity. Second, a controlled movable-wall experiment quantifies the inverse distance dependence of diffraction error, validates knife-edge models at far-field (2 m) while revealing their near-field limitations (1 m), and derives an operational guideline (obstacle subtended angle <11°) for PPP and RTK. Third, a first-of-its-kind phasor-based, data-driven interference model for near-field cylindrical interference achieves correlations >0.61 and mm-level residuals, turning empirical site-calibration maps into interpretable physical models. Fourth, diffraction analysis is extended to tropospheric parameter estimation, uncovering previously undocumented errors in estimated zenith total delays and gradients. The thesis includes three introductory chapters (GNSS error sources, diffraction theory, post-processing software) and five appended papers. Together, they reclassify diffraction from a neglected phenomenon into a quantifiable, modelable one, with direct implications for monument design, site selection, and interpretation of long-term coordinate time series in high-precision geodesy.

Carrier phase

High-precision positioning

PPP

NLOS

Diffraction

GNSS

RTK

Fresnel zone.

SNR

Multipath

PJ Salen, Fysik Origo byggnad, Kemigården 1 / Kemivägen 1, Göteborg,
Opponent: Dr. Pedro Elosegui, MIT Haystack Observatory, Massachusetts, USA. To join the online defence use password: 689719

Författare

Uttama Dutta

Chalmers, Rymd-, geo- och miljövetenskap, Onsala rymdobservatorium

Investigating the impact of diffraction on GNSS carrier phase measurements

Journal of Geodesy,;Vol. 100(2026)

Artikel i vetenskaplig tidskrift

Uttama Dutta, Jan M. Johansson, Rüdiger Haas, Sten E.G. Bergstrand, Carsten Rieck, “Experimental Characterization of GNSS Carrier Phase Diffraction Errors in a Controlled Environment”. GPS Solutions. in review

Uttama Dutta, Jan M. Johansson, “Study of GNSS Phase Center Perturbations from Cylindrical Obstructions”. Journal of Geodesy. in review

Multi-Constellation/Multi-Frequency GNSS Signal Degradation Due to Foliage and Reflective Environments †

Engineering Proceedings,;Vol. 54(2023)

Artikel i vetenskaplig tidskrift

Uttama Dutta, Jan M. Johansson, Peng Feng, “Impact of Diffraction on GNSS Troposphere Estimates in a Controlled Environment”. Manuscript to be submitted

Can you guess what is common between a pizza delivery and a tectonic plate motion? The more popularly known GPS is a part of the Global Navigation Satellite System (GNSS), a space-based network of satellites providing worldwide autonomous geo-spatial positioning, navigation, and timing data. The applications are versatile. While a smartphone can use GNSS to deliver a pizza, a network of high-grade geodetic receivers can help detect tectonic plate motion over large periods of time. GNSS is a major part of the four geodetic techniques that comprise the International Terrestrial Reference Frame (ITRF). Thus an understanding of error sources of GNSS positioning is of prime
importance. One sneaky error source is signal diffraction, which happens when GNSS signals bend as they graze past buildings or rocky cliffs before reaching your receiver. In high-precision positioning, where we strive for centimeter- or even millimeter-level accuracy, diffraction introduces a slowly varying, systematic bias that degrades the quality of geodetic measurements. The error is deterministic and structured, meaning it cannot be averaged out and requires physical or empirical modeling. Like position estimates, unmodeled diffraction may get absorbed into estimated tropospheric parameters, posing a problem for atmospheric studies. For geodetic-grade applications, the antenna
environment must be free not only of obstructions but also of near-grazing diffracting edges. The experiments with diffractive obstructions performed as part of this research are perfect examples of problematic features that are present in many real-world IGS installations (example on a building parapet). A single such affected station can introduce biases that propagate into a larger geodetic network solution, affecting the products for all users. Over decades, this small bias can translate into a significant positional error, degrading the reference frame and compromising studies such as crustal deformation, sea-level rise, and post-glacial rebound.

Infrastruktur

Onsala rymdobservatorium

Ämneskategorier (SSIF 2025)

Jordobservationsteknik

Signalbehandling

DOI

10.63959/chalmers.dt/5918

ISBN

978-91-8103-461-5

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5918

Utgivare

Chalmers

PJ Salen, Fysik Origo byggnad, Kemigården 1 / Kemivägen 1, Göteborg,

Online

Opponent: Dr. Pedro Elosegui, MIT Haystack Observatory, Massachusetts, USA. To join the online defence use password: 689719

Mer information

Senast uppdaterat

2026-08-21