3D Radar Terrain Rendering via Triangulated Mesh
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Solution Overview
Problem
Conventional radar imaging systems lack the capability to provide three-dimensional views, suffer from low resolution, and are affected by specular reflections, making it difficult to interpret images from a pilot's perspective, especially in adverse weather conditions.
Innovation Solution
A 3D radar imaging system that employs a three-dimensional scan with range, azimuth, and elevation data to create a Cartesian frame, forming a mesh of triangles based on radar returns, allowing for pilot-centered image rendering with enhanced resolution and natural image representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional two-dimensional radar scan is used, then the system is simple and easy to operate, but it cannot provide three-dimensional views and lacks elevation angle measurement
Solution Approach 1:
The patent transitions from conventional two-dimensional radar scanning to three-dimensional scanning by adding elevation angle measurement capability. The radar system now collects range, azimuth, and elevation data to create comprehensive 3D spatial information, enabling transformation from 2D plan views to 3D perspective views that accurately represent the pilot's viewpoint.
2Measurement precision
If database-based vertical information is used, then the system can provide height data, but it cannot detect objects not stored in the database and lacks required resolution
Solution Approach 1:
The system performs preliminary 3D mapping of the environment by continuously scanning and storing spatial information in real-time. This pre-acquired 3D data structure enables the system to detect and render objects without relying on pre-stored database information, achieving both high vertical resolution (1 foot/30 cm) and adaptability to new objects.
3Reliability
If long wavelengths are used for radar imaging, then the system can penetrate adverse weather conditions, but it causes specular reflection and unnatural bright and dim areas
Solution Approach 1:
The patent applies signal processing techniques that modify the interpretation of radar return amplitudes. By changing how the data is processed and rendered - specifically by using the 3D geometric information to calculate proper shading and intensity - the system eliminates unnatural bright and dim areas caused by specular reflection while maintaining the reliability of long wavelength penetration through dust and fog.
4Ease of manufacture
If conventional radar imaging is used, then the system provides basic imaging capability, but it produces grainy images with low angular resolution
Solution Approach 1:
The patent segments the radar field of view into numerous small resolution cells defined by range, azimuth, and elevation dimensions. This fine segmentation creates a dense 3D grid of measurement points that, when rendered, produces smooth high-resolution images rather than grainy conventional radar displays. The segmentation enables detailed spatial representation while maintaining ease of implementation through standard radar processing.
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
The system provides improved usability and interpretability of radar images by offering detailed, life-like 3D views from the pilot's perspective, minimizing the effects of specular reflections and enhancing situational awareness in adverse conditions.
Implementation Method 1
The radar sensor location is determined by a precise navigation system, and the two-dimensional image generated
Implementation Method 2
an image is rendered from the amplitude of the reflected signals from each resolution cell
Data Source
Figure 1A~1B
Figure 2A~2B
Figure 3
AI summary
A 3D rendered image of a radar-scanned terrain surface is provided from a radar return signal from the surface, wherein the return signal includes data indicative of azimuth, elevation, and range of a radar-illuminated area of the surface. The data are processed for transformation into X, Y, and Z coordinates. The X and Y coordinates corresponding to each illuminated area are triangulated so as to create a mesh of triangles representing the terrain surface, each of the triangles in the mesh being defined by a vertex triplet. 3D imaging information (grey scale shading and/or coloring information) is added to each triangle in the mesh, based on the amplitude of the radar return signal from the coordinates represented by each vertex in the triplet and the value of the Z coordinate at each vertex, so as to form the 3D rendered image.