UAV Radar Activation Using EO-Guided Autonomous Flight Routing
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Solution Overview
Problem
Existing UAV systems face delays and resource inefficiencies when needing to activate synthetic-aperture radar (SAR) or ground moving target indication (GMTI) modes without pre-defined operational plans, especially in real-time scenarios or during adverse weather conditions when electro-optic data acquisition devices are ineffective.
Innovation Solution
A UAV surveillance system that enables quick activation of on-board radar by capturing images with an electro-optic data acquisition device, identifying areas of interest, and automatically generating flight routes for autonomous radar operation, allowing for ad-hoc switching between electro-optic and radar data acquisition modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pre-defined operational plan is prepared for SAR/GMTI activation, then the radar can be activated efficiently, but the system cannot respond to real-time needs or adverse weather conditions
Solution Approach 1:
The system dynamically generates flight routes and radar activation parameters in real-time based on current electro-optic images and weather conditions, rather than relying on static pre-defined plans. This allows the system to adapt to changing conditions while maintaining reliable radar activation through automated decision-making algorithms.
Solution Approach 2:
The system uses its own electro-optic data acquisition device and processing capabilities to automatically determine when and where to activate radar, eliminating the need for external pre-planning. The UAV autonomously processes its captured images, identifies areas of interest, and generates appropriate flight routes for radar operation.
2Adaptability or versatility
If SAR is activated without a pre-defined operational plan, then real-time response is enabled, but delays and resource inefficiencies occur
Solution Approach 1:
The system continuously captures and processes electro-optic images in advance, maintaining a ready supply of image data and identified areas of interest. This preliminary processing of visual data enables rapid radar activation decisions to be made in real-time without delaying the actual radar operation when conditions require it.
Solution Approach 2:
The system replaces manual operational planning with automated image processing and algorithmic flight route generation. The electro-optic camera and onboard processing units substitute for human analysts who would traditionally plan radar operations, enabling faster real-time responses while maintaining high productivity through automated decision-making.
3Measurement precision
If electro-optic data acquisition is used, then high-resolution imagery is obtained, but the system becomes ineffective in adverse weather conditions
Solution Approach 1:
The system uses electro-optic images as an intermediary to identify areas of interest, which then triggers radar activation. The radar serves as a mediator that can operate in adverse weather conditions where electro-optic sensors fail, allowing the system to maintain data acquisition capability by switching between sensor types based on environmental conditions.
Solution Approach 2:
The system changes the operational parameters of the data acquisition system by switching from electro-optic imaging to radar operation when adverse weather conditions are detected. This parameter change in the sensing modality allows continuous operation despite deteriorating visual conditions, maintaining both image quality (when possible) and operational reliability.
4Ease of operation
If manual operational planning is required for radar activation, then precise control is achieved, but time consumption and resource usage increase
Solution Approach 1:
The system performs automatic operational planning using onboard processing of electro-optic images and integrated weather data. The UAV autonomously generates flight routes and radar activation parameters without requiring external manual planning, eliminating time delays while maintaining precise control through automated decision-making algorithms that consider all relevant operational parameters.
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
Facilitates rapid and efficient radar data acquisition without pre-defined flight instructions, ensuring continuous data collection and reducing resource consumption by enabling autonomous navigation and radar activation over areas of interest, even in adverse weather conditions.
Implementation Method 1
an electro-optic (EO) data acquisition device... configured, while the aircraft is airborne, to capture one or more images of a surveyed area
Implementation Method 2
In GMTI mode, Doppler modulations in the radar echoes are exploited to identify moving objects
Data Source
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AI summary
The presently disclosed subject matter includes a UAV surveillance system and method which enables quick and convenient activation of an on-board radar (e.g. in SAR or GMTI mode) without having predefined suitable flight instructions. It enables ad-hoc operation of radar data acquisition devices allowing to switch from EO data acquisition to radar data acquisition or activate a radar side-by- side with an EO sensing device.