RADAR Image Correction for Inertial Position Drift
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Solution Overview
Problem
Inertial units on ships experience temporal drift, leading to aberrant position calculations, which cannot be corrected effectively when GPS or Galileo systems are jammed, deceived, or unavailable due to environmental interference.
Innovation Solution
A method using a RADAR system to correct the inertial unit's position by comparing real and simulated RADAR images, allowing for precise determination of the vehicle's position even in environments where satellite systems are unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an inertial unit is used to determine ship position, then the system can operate independently of satellite systems (resisting jamming and environmental interference), but the position calculations drift over time leading to aberrant results
Solution Approach 1:
The system uses RADAR images to provide feedback on the actual position of the vehicle. By comparing real RADAR images with simulated images generated from inertial unit data, the system detects position drift and feeds this information back to correct the inertial unit's estimated position, thereby maintaining measurement precision while preserving independence from satellite systems.
Solution Approach 2:
The patent introduces RADAR imaging as an intermediary mechanism to bridge the inertial unit and the environment. Instead of directly relying on satellite signals or raw inertial data, the system uses RADAR images of the environment as a mediator to verify and correct position estimates, enabling the inertial unit to maintain accuracy without satellite dependency.
2Measurement precision
If GPS or Galileo satellite systems are used for geolocation, then accurate position determination is possible, but the systems can be jammed, deluded, or blocked by environmental interference
Solution Approach 1:
The patent introduces RADAR imaging as an intermediary mechanism to bridge the inertial unit and the environment. Instead of directly relying on satellite signals or raw inertial data, the system uses RADAR images of the environment as a mediator to verify and correct position estimates, enabling the inertial unit to maintain accuracy without satellite dependency.
Solution Approach 2:
The system replaces the satellite-based electronic positioning system with a RADAR-based active sensing system. By substituting the passive reception of satellite signals with active RADAR emission and image correlation, the system achieves position verification that is resistant to jamming and environmental blocking.
3Measurement precision
If the inertial unit is regularly reset using geolocation system data, then temporal drift is minimized, but the resetting becomes ineffective when satellite data are jammed or unavailable
Solution Approach 1:
The patent introduces RADAR imaging as an intermediary mechanism to bridge the inertial unit and the environment. Instead of directly relying on satellite signals or raw inertial data, the system uses RADAR images of the environment as a mediator to verify and correct position estimates, enabling the inertial unit to maintain accuracy without satellite dependency.
Solution Approach 2:
The system replaces the satellite-based electronic positioning system with a RADAR-based active sensing system. By substituting the passive reception of satellite signals with active RADAR emission and image correlation, the system achieves position verification that is resistant to jamming and environmental blocking.
4Reliability
If RADAR image correlation is used to correct inertial unit position, then the system can reset the inertial unit without satellite data, but the method requires processing and comparison of multiple images which increases computational complexity
Solution Approach 1:
The system performs preliminary actions by pre-generating simulated RADAR images based on inertial unit position estimates before comparing them with actual RADAR images. This allows the system to prepare correction data in advance and systematically evaluate multiple hypothetical positions, reducing the need for complex real-time calculations during actual position correction.
Solution Approach 2:
The system applies partial action by focusing computational resources on comparing only the most likely position hypotheses rather than exhaustively analyzing all possible positions. By using correlation metrics to rapidly eliminate unlikely candidates and concentrate processing on promising hypotheses, the system reduces overall computational complexity while maintaining correction effectiveness.
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 method effectively minimizes temporal drift in inertial unit calculations by using RADAR image correlation to accurately reset the inertial unit's position, ensuring reliable navigation even in areas where satellite systems are compromised.
Implementation Method 1
a step of reception, by the RADAR system, of a real RADAR image
Data Source
AI summary
Disclosed is a method for resetting the estimated position of a vehicle, including: —a step of receiving by a RADAR system a real RADAR image, —a step of acquiring an estimated position of the vehicle, —a step of calculating by a computer equipping the vehicle a simulated RADAR image, as a function of the estimated position of the vehicle and of a cartographic model of the environment of the vehicle, —a step of comparing the real RADAR image and the simulated RADAR image, and —a step of correcting the estimated position of the vehicle as a function of the result of the comparison.