NTN Signal Verification Using Angle of Arrival and Doppler
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Solution Overview
Problem
Network spoofing through non-terrestrial networks (NTNs) poses a threat to user privacy and security, as rogue operators can deceive devices into connecting to fake networks, compromising sensitive information and leading to unauthorized data access and excessive roaming charges.
Innovation Solution
A wireless device equipped with sensors and an agent function verifies the legitimacy of an NTN by calculating the angle of arrival, RF fingerprint, and Doppler pattern of incoming signals, comparing them against expected values from a legitimate NTN, and using encryption keys for secure communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wireless device connects to non-terrestrial networks without verification, then network coverage and accessibility are improved, but security and reliability deteriorate due to rogue network spoofing
Solution Approach 1:
The patent applies preliminary action by performing verification of NTN legitimacy before the wireless device establishes a connection. The agent function calculates expected signal characteristics (angle of arrival, Doppler pattern, RF fingerprint) based on flight path characteristics received in advance, and compares these with actual received signals to detect spoofing attempts before connection is made, thus preventing security breaches while maintaining network accessibility
Solution Approach 2:
The patent introduces an intermediary verification mechanism between the wireless device and the NTN. The agent function acts as an intermediary that mediates the connection process by verifying signal characteristics against expected values derived from flight path characteristics, thereby ensuring that only legitimate NTNs can establish connections while maintaining the benefits of NTN coverage
2Reliability
If signal verification mechanisms are implemented to detect rogue NTNs, then network security is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by implementing the verification function within the wireless device itself through an agent function. The device autonomously calculates expected signal characteristics, compares them with received signals, and makes connection decisions without requiring external verification infrastructure, thereby enhancing security while keeping the solution self-contained and not adding significant external system complexity
Solution Approach 2:
The patent replaces complex hardware verification mechanisms with signal processing and computational methods. Instead of using additional physical sensors or hardware components, the verification is achieved through calculating and comparing signal characteristics (angle of arrival, Doppler pattern, RF fingerprint) using software-based agent functions, thereby maintaining security without proportionally increasing hardware complexity
3Measurement precision
If flight path characteristics are used to verify NTN legitimacy, then measurement precision is improved, but information processing requirements increase
Solution Approach 1:
The patent applies taking out by extracting only the essential verification parameters from the overall signal. Instead of analyzing all signal characteristics, the system focuses on three key parameters (angle of arrival, Doppler pattern, RF fingerprint) that are directly derivable from flight path characteristics, thereby achieving precise verification while minimizing information processing requirements by concentrating on the most discriminative features
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively prevents connection to fraudulent NTNs, ensuring secure and authorized communication while protecting user data and preventing unauthorized roaming charges.
Implementation Method 1
calculating an angle of arrival of the signal received from the purported NTN and comparing it against an expected angle of arrival
Implementation Method 2
comparing the signal received from the purported NTN with an expected radio frequency (RF) fingerprint
Implementation Method 3
calculating a Doppler pattern of a signal received from the purported NTN and comparing it against an expected Doppler pattern
Data Source
AI summary
A wireless device receives a signal from a purported non-terrestrial network (NTN) and initiates verification of the legitimacy of the purported NTN. The wireless device detects an actual angle of arrival of the signal from the purported NTN and determines an expected angle of arrival of the signal from a legitimate NTN known to the wireless device, based on the device’s current location orientation, or speed. The purported NTN is legitimate if the actual angle of arrival of the signal is within a threshold deviation of the expected angle of arrival of the signal, and the purported NTN is fraudulent if the actual angle of arrival of the signal is not within the threshold deviation of the expected angle of arrival of the signal.