Broadband Spectrum Monitoring for Real-Time Signal Classification
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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 for near real-time automated identification and classification of signals and devices in a wireless communications spectrum, using apparatuses with processors, sensors, and network-based communication to analyze and generate reports, enabling efficient spectrum management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrowly tailored spectral analyzer devices are used for specific communication standards, then measurement precision for that specific standard is improved, but adaptability to other technologies and spectrum uses deteriorates
Solution Approach 1:
The patent implements a universal spectral analyzer that can identify and analyze multiple communication standards (cellular, Wi-Fi, radar, television, radio) within a single device. The system uses a broadband receiver capable of tuning across wide frequency ranges and automatically identifies signal types using machine learning algorithms, eliminating the need for multiple specialized devices while maintaining measurement precision for each standard.
2Measurement precision
If comprehensive spectrum management is performed manually, then measurement precision and analysis depth are improved, but loss of time and productivity deteriorate
Solution Approach 1:
The patent applies machine learning algorithms that rapidly classify and identify signal types by analyzing spectral characteristics. The system automatically processes large amounts of spectral data, identifies communication standards, determines geographic locations, and generates compliance reports without manual intervention, accelerating the spectrum management process while maintaining high measurement precision through automated pattern recognition.
3Adaptability or versatility
If multiple specialized devices are used to cover all spectrum needs, then adaptability is improved, but device complexity and bulkiness increase
Solution Approach 1:
The patent combines multiple specialized spectral analysis functions into a single integrated device. The system merges broadband reception, automatic signal identification, geographic location determination, and compliance reporting capabilities into one unified platform, eliminating the need for multiple separate devices while maintaining comprehensive adaptability across different communication standards and spectrum uses.
4Productivity
If real-time spectrum analysis is performed, then productivity and responsiveness are improved, but use of energy and computational resources increase
Solution Approach 1:
The patent implements real-time spectrum analysis by continuously monitoring spectral data and applying machine learning classification only when necessary. The system processes signals in near-real-time to identify communication standards and generate compliance reports, balancing computational energy consumption with productivity by performing analysis only on relevant signals rather than continuously processing all spectral data.
Data Source
AI summary
Systems and methods are disclosed for providing at least one report relating to a wireless communications spectrum. At least one device is operable for wideband scan; to detect and measure at least one signal transmitted from at least one signal emitting device autonomously, thereby creating signal data; to analyze the signal data in near real-time, thereby creating analyzed data; generate the at least one report in near real-time; and to communicate at least a portion of the at least one report over a network to at least one remote device.