Antenna Null Steering Using Phase Differences Against RF Interference
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently detecting and mitigating jamming and spoofing attacks without significantly burdening system resources.
Innovation Solution
The implementation of null steering in multiple-antenna receivers to block interfering signals by creating nulls in the antenna pattern based on phase difference vectors, thereby distinguishing between legitimate and illegitimate sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequency hopping or redundancy mechanisms are employed to improve resilience against jamming and spoofing, then network security and reliability are improved, but system efficiency and productivity deteriorate due to increased resource overhead
Solution Approach 1:
The system performs preliminary learning of legitimate signal characteristics during normal operation, building a dataset of expected phase difference vectors before attacks occur. This pre-characterization enables rapid detection and null steering response without requiring resource-intensive real-time analysis during attacks, thus maintaining both reliability and productivity
Solution Approach 2:
The invention extracts only the essential characteristic (phase difference vector) from received signals for identification purposes, rather than processing entire signal contents. This extraction approach enables efficient comparison against the learned dataset and rapid null steering deployment, improving system efficiency while maintaining security resilience
2Measurement precision
If receiver-based detection mechanisms are used to analyze message contents or measure power levels, then detection capability is improved, but system resources are significantly consumed
Solution Approach 1:
The system extracts only the phase difference vector between antenna elements as the key identifying characteristic, ignoring other signal contents that would require intensive processing. This minimal extraction enables efficient comparison against pre-learned legitimate patterns, achieving accurate detection with minimal resource consumption
Solution Approach 2:
The system pre-learns the phase difference vectors of legitimate transmitters and stores them in a dataset before attacks occur. During operation, incoming signals are quickly compared against this pre-built reference, enabling rapid detection without requiring resource-intensive real-time analysis of message contents
3Reliability
If more antennas are deployed to improve diversity and resilience, then reliability against attacks is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables existing antenna arrays to serve dual purposes: maintaining their primary communication function while simultaneously providing security detection and null steering capabilities. The same hardware infrastructure is used for both data transmission and attack mitigation, avoiding the need for additional dedicated security hardware
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
This approach effectively reduces the power of signals from illegitimate sources, enhancing the security and resilience of wireless communication systems against jamming, spoofing, and non-malicious interference.
Implementation Method 1
The phase differences between the receiver station antennas indicate the direction of the transmitter station from which the transmission was received
Implementation Method 2
a null is created in the antenna pattern in the direction of the received signal, thereby reducing the received power of the unknown transmitter
Data Source
AI summary
A null steering adjuster in a stationary wireless network identifies the presence or absence of a current set of phase differences in a dataset. The dataset includes legitimate sets of phase differences detected between radio frequency signals received by multiple antennas from respective legitimate sources. The current set of phase differences is detected between radio frequency signals currently received by the antennas. When the current set of phase differences is absent from the dataset, a null is created in the antenna pattern of the antennas in the direction of the currently-received radio frequency signals. When the current set of phase differences is present in the dataset, the antenna pattern is maintained.