UAV Geolocation Near Power Lines Using Carrier Signal Time-of-Flight
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Solution Overview
Problem
Unmanned Aerial Vehicles (UAVs) face challenges in maintaining accurate geolocation due to interference from metallic structures, satellite signal losses, and environmental changes, necessitating a reliable and fault-tolerant method for determining their geographical location, especially when flying near power transmission lines.
Innovation Solution
The method utilizes power grid communication signals, specifically carrier signals transmitted by grid nodes, to calculate the UAV's geolocation by measuring the time-of-flight of these signals, allowing the UAV to derive its position and control flight operations, even when primary geolocation capabilities are lost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used for geolocation, then the UAV can obtain position information, but the accuracy is compromised by satellite losses and electromagnetic interference from metallic structures
Solution Approach 1:
The patent introduces power line carrier signals as an intermediary medium for geolocation. Instead of relying directly on GPS satellite signals that are blocked by metallic structures, the system uses electromagnetic signals transmitted through power lines as a mediator to determine UAV position, thereby overcoming the blockage issue while maintaining measurement accuracy
Solution Approach 2:
The patent replaces the GPS satellite-based electromagnetic positioning system with a power line-based electromagnetic signaling system. By substituting the GPS mechanism with power line carrier wave transmission, the system eliminates dependency on satellite signals that are vulnerable to blockage by metallic transmission towers and structures
2Measurement precision
If image recognition systems are used for geolocation, then the UAV can determine position, but accuracy suffers from lighting changes and environmental conditions
Solution Approach 1:
The patent replaces optical image recognition systems with electromagnetic signal-based positioning using power line carrier waves. This substitution eliminates the harmful effects of lighting changes, weather conditions, and seasonal variations that plague optical systems, as electromagnetic signals transmitted through power lines are unaffected by these environmental factors
3Measurement precision
If inertial measurement units are used for geolocation, then the UAV can track position, but positional drift occurs over time
Solution Approach 1:
The patent implements a feedback mechanism where the UAV continuously receives position corrections from power line carrier signal measurements. By periodically measuring its position relative to known power line infrastructure and comparing with inertial navigation data, the system corrects accumulated positional drift, maintaining long-term accuracy without being limited by inertial system time constraints
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides reliable and accurate geolocation for UAVs in proximity to power grids, overcoming traditional GPS and inertial system limitations by leveraging powerline frequencies for situational backup geolocation, ensuring precise navigation and operation.
Implementation Method 1
detecting, via a transceiver of the UAV, a carrier signal that is transmitted by or from a first grid node of the power grid
Implementation Method 2
calculate time-of-flight of the carrier signal using the detected response signal
Data Source
AI summary
A method for determining geolocation of a UAV near a power grid includes detecting, via a transceiver, a carrier signal transmitted from a first grid node to identify the node's fixed geolocation. A response signal may be transmitted from a second grid node in response to the carrier signal to identify a fixed geolocation of the second grid node, or the UAV may process the carrier signal. A processor determines time-of-flight of the carrier signal, e.g., using the response signal, and derives the UAV's geolocation using the time-of-flight. Determining time-of-flight may include referencing a lookup table indexed by time-of-arrival at the transceiver of the modulated carrier and response signals. A timestamp may indicate time-of-transmission of the carrier and response signals, respectively. Deriving geolocation may include subtracting time-of-transmission of the response signal from that of the carrier signal. A system includes the processor and transceiver.