RF Spectrum Monitoring With Automated Conflict Detection Reports
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Solution Overview
Problem
Existing spectrum management devices are limited by their specificity to narrow frequency ranges, bulkiness, high cost, difficulty in use, and lack of real-time data analysis, making them inefficient for comprehensive spectrum management across various technologies and locations.
Innovation Solution
A system that automatically identifies and classifies signals in near real-time using multiple apparatus units, analyzes signal data, and generates reports, capable of operating independently or networked with a server, to provide real-time spectrum management and identify open spaces for wireless communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzer devices are used for specific frequency ranges, then measurement precision for that specific range is improved, but adaptability to other frequency ranges and technologies deteriorates
Solution Approach 1:
The patent implements a universal spectral analyzer that can measure across multiple frequency ranges (e.g., 900 MHz to 6 GHz) using a single device. The system employs configurable receive chains and processors that can be dynamically adjusted to analyze different frequency bands and communication standards, eliminating the need for multiple specialized devices while maintaining measurement precision across all supported ranges.
Solution Approach 2:
The spectral analyzer uses dynamic configuration capabilities where receive chains and processing parameters can be adjusted in real-time based on the target frequency range and signal characteristics. This dynamic adaptability allows the same hardware to optimally measure across different frequency bands by reconfiguring its operational parameters rather than requiring physical hardware changes.
2Adaptability or versatility
If comprehensive spectrum management systems are implemented, then adaptability to various technologies is improved, but device complexity and bulkiness increase
Solution Approach 1:
The spectral analyzer is divided into multiple independent receive chains, each capable of operating at different frequency ranges. Instead of one large complex receiver, the system uses segmented receive chains that can be independently configured and activated based on the measurement requirements. This segmentation reduces overall system complexity while maintaining comprehensive spectrum management capability.
Solution Approach 2:
A single universal spectral analyzer platform is designed to perform multiple functions across different frequency ranges and communication standards. By consolidating multiple specialized devices into one multi-functional system with shared processing resources, the patent reduces device complexity while enhancing adaptability to various technologies and spectrum management tasks.
3Productivity
If real-time signal identification and analysis is performed, then productivity is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary signal classification and identification using pattern recognition and database comparison before detailed analysis. By pre-processing signals to categorize them into known types and characteristics, the system reduces the complexity of subsequent analysis steps and enables faster real-time processing while maintaining high productivity.
Solution Approach 2:
The spectral analyzer incorporates feedback mechanisms where signal identification results are fed back into the processing system to dynamically adjust analysis parameters. This feedback loop allows the system to optimize its processing complexity based on the identified signal type, reducing unnecessary processing for well-known signals while maintaining high analysis speed for complex or unknown signals.
Data Source
AI summary
Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.