Universal RF Signal Detection for Near-Real-Time Spectrum Sharing
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Solution Overview
Problem
Current spectrum management devices are limited by their specificity to certain technologies, bulkiness, high cost, difficulty in use, and inability to provide real-time or near real-time data, leading to inefficient spectrum utilization and management.
Innovation Solution
A system utilizing a receiver, processor, and blockchain platform for real-time dynamic radio frequency spectrum allocation and reallocation, employing statistical learning and machine learning algorithms to create a knowledge map for dynamic spectrum sharing, enabling near real-time detection and classification of signals, including those with low power or buried in wideband signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzers are used for specific communication standards, then measurement precision for that specific standard is improved, but device complexity increases and adaptability decreases when standards change
Solution Approach 1:
The patent implements a universal spectral analysis system that can detect and analyze multiple communication standards (cellular, Wi-Fi, radar, TV, microwave) within a single device. The system uses a broadband receiver capable of sweeping across wide frequency ranges (e.g., 9 kHz to 6 GHz) and employs configurable analysis modules that can be adapted to different standards without requiring separate dedicated analyzers for each technology type.
2Adaptability or versatility
If comprehensive spectrum management devices are used to cover all frequency bands and technologies, then adaptability is improved, but device complexity and bulkiness increase
Solution Approach 1:
The system segments the spectrum management function into modular components: a broadband receiver for signal acquisition, a configurable analysis module for signal processing, and a database for reference information. This modular architecture allows the system to handle multiple frequency bands and technologies through software configuration rather than requiring complex hardware for each function simultaneously.
Solution Approach 2:
The patent introduces a database as an intermediary component that stores reference spectral masks and communication standard parameters. This database enables the system to access and apply appropriate analysis criteria for different standards without embedding all knowledge directly in the hardware, thereby reducing device complexity while maintaining comprehensive adaptability.
3Manufacturing precision
If traditional spectral analyzers are used, then manufacturing precision is maintained, but ease of operation decreases due to complicated software and hardware requirements
Solution Approach 1:
The system incorporates automated signal classification and identification capabilities that operate without requiring manual configuration or expert user intervention. The analysis module automatically compares detected signals against stored spectral masks and communication standards, generating classifications and reports autonomously. This self-service approach simplifies operation while maintaining the precision of manufactured spectral analysis capabilities.
Data Source
AI summary
Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.