RF Sensor Network for Wireless Audio Frequency Coordination
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Solution Overview
Problem
Conventional radio frequency spectrum analysis equipment is costly, complex, and requires trained engineers, making it inaccessible for novice users in dynamic environments like houses of worship and entertainment venues, where intermittent radio frequency occupation exacerbates interference and coordination challenges.
Innovation Solution
A computerized method and system that allows novice users to access real-time and historical spectrum data through a network of internet-connected RF sensors and a web-based analytics application, determining unused frequencies and calculating recommended frequencies to minimize interference, enabling efficient deployment and management of wireless communication equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radio frequency spectrum analysis equipment is used, then measurement precision and reliability are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses software-defined radio technology to create a virtual copy of conventional spectrum analyzer functionality. The SDR-based system replicates the measurement capabilities of expensive hardware equipment through software algorithms running on standard computers, eliminating the need for complex dedicated hardware while maintaining analysis accuracy.
Solution Approach 2:
The patent replaces traditional mechanical/electronic spectrum analysis hardware with a software-based approach. The SDR platform substitutes physical measurement instruments with computational algorithms that process RF signals through software, reducing hardware complexity while preserving measurement precision.
2Measurement precision
If conventional spectrum analyzers are used, then measurement precision is improved, but ease of operation deteriorates due to requiring trained engineers
Solution Approach 1:
The patent implements automated frequency coordination and interference detection that performs itself without requiring skilled operators. The system automatically analyzes RF spectra, identifies occupied frequencies, calculates optimal channels, and provides recommendations through user-friendly interfaces, enabling untrained users to conduct professional-grade spectrum analysis.
Solution Approach 2:
The patent provides real-time feedback through automated analysis results, available frequency reports, and interference detection notifications. This continuous feedback loop guides users through the measurement process and delivers actionable recommendations, making the system as easy to use as checking a weather forecast while maintaining expert-level precision.
3Device complexity
If conventional spectrum analyzers are used for temporary setups, then device complexity is reduced, but reliability deteriorates due to inability to account for intermittent RF occupation
Solution Approach 1:
The patent enables continuous RF spectrum monitoring and historical data tracking, providing ongoing visibility into frequency usage patterns throughout the event duration. This continuous observation allows the system to detect intermittent transmitters and predict future interference, ensuring reliable frequency coordination throughout the entire event rather than just at setup time.
Solution Approach 2:
The patent performs preliminary frequency analysis and generates recommended channel assignments before the actual event begins. By analyzing RF conditions in advance and predicting potential interference based on historical data, the system pre-configures optimal frequencies to avoid conflicts during live operation, ensuring reliability before problems can occur.
4Measurement precision
If detailed RF data collection is performed, then measurement precision is improved, but loss of time increases due to comprehensive analysis requirements
Solution Approach 1:
The patent applies intelligent filtering to collect only the necessary RF data for accurate analysis, avoiding unnecessary comprehensive sweeping. The system selectively samples frequencies based on event type, venue characteristics, and historical patterns, achieving precise measurements with reduced measurement time by focusing resources only where needed.
Data Source
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AI summary
Systems and methods are provided for analyzing radio frequency (RF) data. RF data is received from one or more RF sensors, wherein the RF data is collected over a particular frequency range and resolution bandwidth. One or more frequencies not in use are determined based on the RF data and a signal level threshold. One or more recommended frequencies for use are calculated based on the one or more open frequencies and an intermodulation function, wherein each of the one or more recommended frequencies reduces a potential for intermodulation distortion than other frequencies in the frequency range.