Passive LTE Uplink Signal Classification via DRS Bit Sequence Comparison
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Solution Overview
Problem
Existing methods for classifying radio frequency signals as LTE uplink communications are either error-prone or require active participation in handshake communications, making them unsuitable for passive identification, especially in scenarios where interference from LTE signals needs to be determined without disrupting existing services.
Innovation Solution
A passive classification system using a phased array antenna and beamforming technology to concurrently synthesize multiple antenna beams, evaluating physical parameters like frequency and timing information, and comparing extracted bit sequences with known Demodulation Reference Signal (DRS) sequences to definitively classify signals as LTE uplink communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If active participation in handshake communications is used for signal classification, then classification accuracy is improved, but the system becomes intrusive and disrupts existing services
Solution Approach 1:
The system performs self-service by autonomously analyzing RF signals and making classification decisions without requiring interaction with or participation in the LTE handshake protocol. The passive classification system independently evaluates signal characteristics and identifies LTE uplink communications without disrupting the target system's normal operation.
Solution Approach 2:
The patent introduces a passive classification system as an intermediary that observes and analyzes RF signals without becoming part of the communication chain. This intermediary approach allows accurate signal identification while maintaining independence from and non-interference with the LTE network operations.
2Object-affected harmful factors
If passive identification methods are used to detect LTE interference, then service disruption is avoided, but classification accuracy deteriorates due to error-prone existing methods
Solution Approach 1:
The system transitions from traditional single-dimension signal analysis to multi-dimensional analysis by simultaneously evaluating multiple signal characteristics including frequency domain properties, time domain features, signal structure patterns, and energy distribution across resource blocks. This dimensional expansion enables accurate passive classification without service disruption.
Solution Approach 2:
The patent employs comprehensive parameter evaluation by analyzing multiple signal parameters simultaneously (frequency, timing, energy distribution, signal structure) rather than relying on single parameter detection. This multi-parameter approach significantly improves classification accuracy while maintaining passive operation.
3Device complexity
If traditional signal classification methods are used, then implementation complexity is reduced, but reliability deteriorates due to error-prone classification
Solution Approach 1:
The classification process is segmented into distinct functional modules: RF signal acquisition, physical parameter evaluation, signal structure analysis, and classification decision-making. Each module performs a specific function, making the overall complex system manageable and reliable through modular design while maintaining high classification accuracy.
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
Enables accurate and non-intrusive identification of LTE uplink signals without active participation in the LTE handshake protocol, reducing interference detection errors and ensuring compliance with spectrum allocation rules.
Implementation Method 1
a process by which a plurality of antenna beams are concurrently synthesized. Each beam is a signal in which the radio energy arriving at the antenna array from a specific direction is enhanced, while energy arriving from other directions is attenuated
Data Source
AI summary
System for passively classifying a signal as a user equipment (UE) generated uplink communication in accordance with in an LTE communication standard includes a radio frequency receiver and a computer processor operatively coupled to the receiver. The system evaluates physical parameters of the RF signals and obtains an extracted bit sequence contained in a time slot in which a Demodulation Reference Signal (DRS) would be normally transmitted. The extracted bit sequence information is compared to a plurality of known bit sequences specified for DRS in an LTE uplink communication.