FMCW Radar Spatial Tracking via Angle-Based Clutter Rejection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional surface/multipath rejection algorithms in automotive radar systems are ineffective due to similar radar cross-sections of direct and reflected path-waves, caused by concrete and metal-based clutter, leading to difficulties in accurately determining spatial information about vehicles.
Innovation Solution
A method using frequency modulated continuous wave (FMCW) radar data to correct for static clutter by identifying and rejecting radar signal components reflected from stationary objects, such as roads and buildings, through angle of arrival analysis and subtraction of weighted components, allowing for more efficient tracking of directly reflected signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional surface/multipath rejection algorithms are used based on radar cross-section difference, then the approach works well in aerospace applications with minimal surface clutter, but it becomes ineffective in automotive radar systems where the radar cross-section of reflected path-wave is similar to that of direct path-wave due to concrete and metal-based clutter
Solution Approach 1:
The patent changes the basis for multipath rejection from radar cross-section difference to angle of arrival difference. By using direction-of-arrival estimation techniques, the system can distinguish between direct and reflected path-waves based on their different propagation angles, making the rejection algorithm effective in automotive environments with concrete and metal clutter where traditional RCS-based methods fail
2Measurement precision
If radar signals are processed to identify direct path-waves in cluttered environments, then spatial information can be determined, but the similar radar cross-section between direct and reflected path-waves causes difficulty in accurate determination
Solution Approach 1:
The patent introduces a new dimension for signal discrimination by using angle of arrival information. Instead of relying solely on radar cross-section characteristics in the amplitude domain, the system estimates the direction from which signals arrive, adding angular information as an additional dimension for distinguishing between direct and reflected path-waves, thereby improving measurement precision in cluttered environments
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 effectively declutters radar signals, improving the accuracy and efficiency of spatial information tracking, enhancing adaptive cruise control and collision avoidance systems by isolating direct reflections from indirect reflections.
Implementation Method 1
receiving at least one initial frame of frequency modulated continuous wave (FMCW) radar data, wherein the at least one initial frame includes spatial information regarding said vehicle associated with a radar signal reflected back from said vehicle
Implementation Method 2
radar signal reflected back from said vehicle via a surface of at least one stationary object
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method (140) and processor to determine spatial information regarding a vehicle (4). The method includes receiving (142) at least one initial frame of FMCW radar data including spatial information regarding the vehicle associated with a radar signal (12,14,16) reflected back from the vehicle via a surface of at least one stationary object (6,8) other than the vehicle. The method also includes receiving (144) at least one further frame of FMCW radar data including: spatial information regarding the vehicle associated with a radar signal (12,14,16) reflected back from the vehicle via the surface of at least one stationary object other than the vehicle, and spatial information regarding the vehicle associated with a radar signal (10) reflected directly back from the vehicle. The method further includes using the at least one initial frame of radar data to correct for static clutter associated with the at least one stationary object in the at least one further frame of radar data.