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- Jul 30, 2026
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- #1
Short answer: Multipath reflects authentic signals and often depends on geometry and surroundings; spoofing introduces counterfeit signal structure or navigation data. One position jump or distorted correlation peak is not enough—use spatial, temporal and receiver-level evidence plus trusted references.
Before you start
- Keep GNSS and drone work passive unless the experiment has explicit authorization and an RF-controlled environment; do not jam, spoof or interfere with navigation or aircraft.
- Record receiver clock, antenna, gain, sample rate, observation location precision and ground truth before interpreting anomalies.
Step-by-step method
- Step 1: Record satellite C/N0, pseudorange residuals, Doppler, clock bias, position and raw correlator or I/Q data where available.
- Step 2: Check whether anomalies correlate with low-elevation satellites, buildings, vehicle movement or repeat at the same physical geometry, which supports multipath.
- Step 3: Compare independent antennas, receivers, inertial data or trusted timing. Common coherent changes across satellites can justify deeper spoofing analysis.
- Step 4: State alternative explanations and confidence. Escalate only through authorized safety or spectrum channels; never transmit a counter-signal.
Concrete example
A position error that disappears when moving the antenna away from a reflective wall is strong multipath evidence. Simultaneous identical Doppler behavior across satellites and implausible clock motion may be suspicious but still requires corroboration.How to judge the result
The analysis is responsible when raw evidence supports the conclusion, uncertainty is explicit and ordinary antenna, clock, ephemeris and interference faults have been tested.What to record
- Separate frequency-reference accuracy from absolute time alignment: 10 MHz disciplines frequency while PPS marks a time boundary.
- Use multiple independent observables for GNSS interference or spoofing claims, such as spectrum, AGC behavior, correlation, navigation consistency and trusted reference data.
- For direction finding or RF classification, report uncertainty and test across channels, distances, devices and temperatures.
Common mistakes
- Changing several hardware, software or RF variables at once, which removes the controlled comparison needed to identify the cause.
- Treating one autoscaled screenshot or one unusually good result as proof without recording the settings and repeating the test.
- Calling any GNSS anomaly spoofing can mislead users and distract from common antenna, multipath and receiver problems.