Spectrum Signal Classification for Real-Time Open Space Detection
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Solution Overview
Problem
Existing spectrum management devices are limited by their specificity to certain technologies, bulkiness, high cost, difficulty in use, and lack of real-time data analysis, making them inefficient for managing diverse wireless communications spectrum needs.
Innovation Solution
A system and method for identifying and classifying wireless communications signals using a device with sensors, processors, and memory to analyze radio frequency measurements, enabling near real-time detection and identification of signal emitting devices and open space in the spectrum.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzer devices are used for specific communications standards, then measurement precision for that specific standard is improved, but device complexity and cost increase when standards change
Solution Approach 1:
The patent applies universality by creating a spectral analyzer that can handle multiple communications standards (cellular, Wi-Fi, radar, satellite) through a single device. The system uses a universal receiver capable of tuning across different frequency bands and protocols, eliminating the need for separate dedicated analyzers for each standard while maintaining measurement precision through standardized processing algorithms.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the receiver's operating parameters (frequency, bandwidth, sampling rate) based on the detected signal characteristics. The system automatically modifies these parameters to optimize performance across different communications standards without requiring hardware changes or complex reconfiguration, thereby reducing device complexity while maintaining measurement precision.
2Adaptability or versatility
If broadly tailored spectrum management devices are used to handle multiple technologies, then adaptability is improved, but device complexity and bulkiness increase
Solution Approach 1:
The patent implements universality through a single integrated device that can manage diverse spectrum technologies. The receiver is designed with a wide tuning range and configurable bandwidth to accommodate cellular, Wi-Fi, radar, and satellite signals. The processing system includes universal algorithms that can identify and analyze different signal types, providing broad adaptability without requiring multiple specialized devices.
Solution Approach 2:
The patent applies merging by combining multiple previously separate functions (signal detection, classification, interference analysis, and spectrum mapping) into a single integrated device. This consolidation reduces overall system complexity and eliminates the need for multiple bulky components while maintaining the versatility to handle various communications technologies through unified processing architecture.
3Loss of information
If traditional spectrum management systems are used, then comprehensive spectrum analysis is achieved, but loss of time increases due to lack of real-time data analysis
Solution Approach 1:
The patent implements continuity of useful action through continuous spectrum monitoring and real-time signal analysis. The receiver continuously scans the spectrum and the processor continuously identifies signals, classifies them, and updates the spectrum map without interruption. This continuous operation provides real-time data on open spaces and interference conditions, eliminating delays associated with periodic sampling or batch processing while maintaining comprehensive spectrum analysis.
Solution Approach 2:
The patent utilizes feedback mechanisms where the processed spectrum information is immediately fed back into the system to update the spectrum map and trigger real-time recommendations. The system continuously monitors signal changes, updates its understanding of the electromagnetic environment, and provides real-time feedback on available channels and potential interference, enabling dynamic adaptation without time loss.
Data Source
AI summary
Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.