FMCW Radar Antenna Arrays for Weather-Resistant Perception
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional light-based sensors, such as image sensors and LiDAR, perform poorly in poor visibility or inclement weather conditions, limiting their effectiveness in autonomous perception systems.
Innovation Solution
Implementing radar systems, specifically Frequency-Modulated Continuous Wave (FMCW) radar, to provide reliable environmental perception in various weather conditions using MIMO radar technology with distributed antenna arrays and centralized processing for enhanced performance and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If light-based sensors (image sensors, LiDAR) are used for autonomous perception, then the system can achieve good performance in clear weather conditions, but the reliability deteriorates significantly in poor visibility or inclement weather conditions
Solution Approach 1:
The patent transitions from using light-based sensors to radar sensors, changing the fundamental operating parameter from optical frequency to radio frequency. This parameter change enables the system to operate reliably in adverse weather conditions where light-based sensors fail, as radar waves can penetrate rain, snow, fog, and dust that block visible light and infrared wavelengths.
2Reliability
If radar systems are implemented to ensure reliable perception in adverse weather, then the reliability improves, but the device complexity increases due to distributed antenna arrays and centralized processing requirements
Solution Approach 1:
The radar system is divided into multiple distributed antenna units, each capable of independent signal transmission and reception. These segmented antenna elements are spatially distributed to achieve MIMO functionality, allowing the system to achieve high reliability through redundancy and diversity while managing complexity through modular architecture.
Solution Approach 2:
The patent combines multiple distributed antenna signals through centralized processing to achieve enhanced perception capabilities. By merging the signals from multiple antenna elements and processing them collectively, the system achieves improved reliability and accuracy while managing the inherent complexity through integrated signal processing algorithms.
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 radar system ensures consistent and reliable environmental perception for autonomous vehicles and robots, even in adverse weather, by providing accurate range, speed, and angle information through distributed radar devices with centralized data processing.
Implementation Method 1
radar systems, specifically Frequency-Modulated Continuous Wave (FMCW) radar
Implementation Method 2
Frequency-Modulated Continuous Wave (FMCW) radar, to provide reliable environmental perception
Data Source
AI summary
For example, a radar Radio Head (RH) may be configured to determine Range-Doppler (RD) information corresponding to a plurality of RD bins based on digital radar Receive (Rx) signals representing radar Radio Frequency (RF) Rx signals received by one or more Rx antennas; to detect one or more detected RD bins based on the RD information; to provide filtered RD information including RD information corresponding to the one or more detected RD bins and excluding RD information of one or more excluded RD bins, which are not included in the one or more detected RD bins; and to send the filtered RD information to another processor via a communication interconnect.