VTOL Landing Alignment Using Radar Corner Reflectors
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Solution Overview
Problem
VTOL vehicles, especially unmanned aerial systems, face challenges in aligning with landing zones due to reliance on visual cues, which are hindered by weather conditions or lack of lighting, and as urban air mobility grows, these challenges compound.
Innovation Solution
A computer-implemented method using radar signals reflected from corner reflectors arranged in a triangular array to determine the location of a VTOL vehicle relative to a predefined landing zone, allowing for automatic alignment and repositioning, with the option of providing visual or auditory indicators to operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual cues are used for landing zone alignment, then the alignment process is simple and intuitive, but the system becomes unreliable in visually degraded environments such as poor weather or lack of lighting
Solution Approach 1:
The patent replaces visual alignment mechanisms with radar-based detection. The radar system transmits electromagnetic waves that reflect off corner reflectors on the landing zone, providing reliable distance and position data independent of visual conditions. This substitution of radar technology for visual cues resolves the contradiction by maintaining reliability in poor visibility while managing system complexity through automated signal processing.
Solution Approach 2:
The patent introduces corner reflectors as intermediary objects on the landing zone. These passive reflectors enhance radar signal reflection without requiring active power sources, creating a reliable reference system that mediates between the radar transmitter and the alignment algorithm. This intermediary element improves reliability by providing consistent, detectable signals while keeping the overall system relatively simple.
2Adaptability or versatility
If manual visual alignment is used by a pilot, then the system remains simple to operate, but unmanned aerial systems cannot perform alignment and visual alignment becomes ineffective
Solution Approach 1:
The patent implements self-service alignment through automated radar detection and position calculation. The system automatically transmits radar signals, receives reflections from corner reflectors, calculates the vehicle's position relative to the landing zone, and guides alignment without human intervention. This enables unmanned aerial systems to perform autonomous alignment while maintaining operational simplicity through automated processes.
Solution Approach 2:
The patent creates a universal alignment system that works for both manned and unmanned vehicles. The radar-based detection method and automated position calculation algorithm provide a multi-functional solution that adapts to different operator types. The system maintains ease of operation by requiring minimal input from the operator regardless of whether the vehicle is manned or unmanned, resolving the contradiction between adaptability and ease of operation.
3Reliability
If radar signals are used for alignment, then reliability in low-visibility environments is improved, but the device complexity increases due to additional hardware and processing requirements
Solution Approach 1:
The patent extracts the alignment function from complex visual processing requirements and isolates it into a dedicated radar detection system. By separating the detection function into a specialized radar subsystem with corner reflectors, the system achieves reliable detection in low-visibility conditions while managing overall complexity through functional decomposition. The radar system handles the complex signal processing independently, allowing the main vehicle systems to remain relatively simple.
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
Enables reliable and automated alignment of VTOL vehicles with landing zones in various conditions, enhancing safety and efficiency by supplementing or replacing visual cues, particularly in low-visibility environments.
Implementation Method 1
receiving data related to a first radar signal reflected from at least one corner reflector
Implementation Method 2
at least one corner reflector arranged in a triangular array on the landing zone
Data Source
AI summary
A computer-implemented method of navigating a vertical take-off and landing (“VTOL”) vehicle near a landing zone, may comprise receiving data related to a first radar signal reflected from at least one corner reflector; determining whether the received data is consistent with a predefined target landing zone; upon determining that the received data is consistent with the predefined target landing zone, determining a location of the VTOL vehicle relative to the predefined target landing zone, using a second radar signal reflected from at least one corner reflector; and determining whether the location of the VTOL vehicle is consistent with a predefined landing position.