UAV-Based RF Spectral Analysis

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Solution Overview

Problem

Current methods for measuring radio frequency spectral characteristics, such as interference sources near cellular towers, face challenges in maneuvering and stabilizing RF spectral analyzers in densely populated areas, leading to interference issues due to the size and weight of equipment.

Innovation Solution

Employing an unmanned aerial vehicle (UAV) equipped with a spectral analyzer to detect and relay radio frequency signal parameters in real time, using direct radio broadcasts or cellular communication channels, providing a live three-dimensional visualization of field characteristics without significant interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional RF spectral analyzers are used in densely populated areas, then signal measurement capability is achieved, but interference is generated due to the size, weight, and metal content of the equipment

Engineering Contradiction:
Improvesignal measurement capabilityVSAvoidinterference
Core Design Contradiction:
Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent replaces traditional ground-based mechanical RF spectral analyzers with an aerial vehicle-based system. This substitution eliminates the interference problem caused by large metal equipment on the ground while maintaining measurement capability, as the aerial vehicle can be made smaller and lighter with reduced metal content.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent moves the RF spectral analyzer from the ground level to the aerial dimension. By deploying the measurement equipment in three-dimensional space rather than confined to ground level, the system avoids interference issues in densely populated areas while accessing signal characteristics from different spatial perspectives.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Area of stationary object

If traditional equipment is used to map three-dimensional signal characteristics, then measurement coverage is achieved, but maneuverability is reduced due to the size and weight of the equipment

Engineering Contradiction:
Improvemeasurement coverageVSAvoidmaneuverability
Core Design Contradiction:
Area of stationary objectVSEase of operation

Solution Approach 1:

The patent utilizes the aerial dimension to achieve comprehensive three-dimensional signal mapping. The aerial vehicle can freely move in three-dimensional space, providing complete spatial coverage of signal characteristics without the maneuverability constraints that would affect ground-based equipment of similar measurement capability.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Illumination intensity

If industrial equipment such as cranes or scissor-lifts is used to measure signal characteristics, then elevated measurement position is achieved, but substantial interference is generated due to the size, weight, and amount of metal in the equipment

Engineering Contradiction:
Improvemeasurement position elevationVSAvoidinterference
Core Design Contradiction:
Illumination intensityVSObject-generated harmful factors

Solution Approach 1:

The patent replaces heavy industrial equipment like cranes and scissor-lifts with a lightweight aerial vehicle system. This substitution achieves the necessary elevation for signal measurement while dramatically reducing the metal content and associated electromagnetic interference, as the aerial vehicle can be designed with minimal metal structures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10374732B1Methods for radio frequency spectral analysis
Publication Date: 2019.08.06 MELAMED HOWARD
  • US10374732B1 patent drawing
  • US10374732B1 patent drawing
  • US10374732B1 patent drawing

AI summary

The invention is directed to methods for radio frequency spectral analysis. Accordingly, flight instructions are executed on a first UAV to fly in a first flight pattern relative to a signal source. The first UAV detects radio signal(s) from the signal source and associated signal data. Flight instructions are concurrently executed on a second UAV to fly in a second flight pattern, relative to the first flight pattern of the first UAV. The second UAV also detects radio signal(s) from the signal source and associated signal data. The stored signal data from the drones may then be processed for visualization.