Rotating FMCW Antenna System for 3D Radar Imaging
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Solution Overview
Problem
Current automotive radar systems face challenges in providing high-resolution 3D imaging due to the high cost and computational complexity of phased array systems, which are prohibitively expensive and resource-intensive for commercial vehicles, limiting their ability to offer detailed 360-degree environmental awareness.
Innovation Solution
A radar system design that reduces the number of array elements by incorporating mechanical scanning and using a combination of Frequency Modulated Continuous Wave (FMCW) radar, Three Antenna Interferometry, and Fast Fourier Transform (FFT) processing, creating a fanbeam with a rotating antenna assembly and separate fixed receive antennas to achieve high-resolution range, azimuth, elevation, and signal strength data with reduced computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phased array systems with multiple elements are used to achieve high-resolution 3D imaging, then measurement precision and imaging detail are improved, but device complexity and cost increase exponentially
Solution Approach 1:
The patent divides the imaging function into two separate components: a rotating single-element transmit antenna that provides azimuth scanning, and a fixed multi-element receive array that provides elevation and range information. This segmentation allows the system to achieve 3D imaging capability without requiring a full 2D phased array, significantly reducing the number of elements needed while maintaining measurement precision.
2Measurement precision
If the number of array elements is increased to improve angular resolution, then measurement precision is improved, but computational resources and processing time increase
Solution Approach 1:
The patent segments the signal processing into two stages: real-time processing of received signals to extract target parameters, and post-processing to generate the final 3D image. This allows rapid data acquisition with a reduced number of elements, improving processing speed while maintaining the ability to generate detailed images through efficient post-processing algorithms.
3Device complexity
If mechanical scanning is implemented to reduce array elements, then device complexity is reduced, but scanning time and update rate increase
Solution Approach 1:
The patent employs periodic rotation of the transmit antenna at a constant angular velocity, creating regular scanning intervals. This periodic motion, combined with the multi-element receive array that captures signals from multiple angles simultaneously, enables rapid data collection that reduces the effective scan time compared to sequential scanning methods, while maintaining the benefit of reduced device complexity.
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 significantly reduces the cost and computational requirements, enabling the development of an affordable 3D radar system capable of rapid data processing and updates, providing detailed environmental awareness around a vehicle.
Implementation Method 1
A RADAR (RAdio Detection And Ranging) system senses its environment by transmitting electromagnetic energy, and receives the subsequent reflected energy from objects in its local environment
Implementation Method 2
Frequency Modulated Continuous Wave (FMCW) radar techniques
Data Source
AI summary
A method for using a radar assembly to sense an environment includes a radar system that has an antenna assembly secured for 360-degree rotation, the antenna assembly having mounted thereon at least one transmit antenna, and a first set of three or more separate fixed receive antennas, with the antenna assembly having a greater width than height so as to create a fanbeam. In the method of the present invention, the antenna assembly is rotated to a first azimuth position, and then an FMCW waveform is transmitted within the fanbeam, and reflections are received from targets in the environment while in the first azimuth position. Based on the received reflections, data is processed and stored. These steps are repeated for all other azimuths until an azimuth sweep has been completed. At that time, a full environmental data set is compiled for the environment, where the data set comprises azimuth data, range data, elevation data and RCS data. The data set is gathered and delivered to a controller for analysis.


