Radar Cross-Range Rate Measurement for Autonomous Vehicle Control
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Solution Overview
Problem
Traditional vehicular radar systems primarily detect velocity components normal to the radar unit, ignoring crossing components, which limits their ability to accurately track and control autonomous vehicles in complex environments with multiple moving objects.
Innovation Solution
The method involves transmitting and receiving signal pulses to determine Doppler bandwidth and cross-range extent, allowing for the calculation of cross-range rate, which is used to control autonomous vehicles by processing signals with a radar unit equipped with a transmitter, receiver, and processing unit capable of determining Doppler bandwidth, range, and cross-range extent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar systems only detect velocity components normal to the radar unit, then the system complexity is reduced, but the measurement precision of target dynamics is insufficient
Solution Approach 1:
The patent transitions from measuring only the normal velocity component (one dimension) to measuring both normal and cross-range velocity components (two dimensions). This is achieved by analyzing the Doppler bandwidth across different range bins, which reveals the cross-range extent and allows calculation of cross-range rate. This dimensional expansion resolves the contradiction by providing complete velocity information while using standard radar hardware.
Solution Approach 2:
The patent changes the measurement parameter from single-velocity-component detection to multi-parameter detection including Doppler bandwidth, cross-range extent, and cross-range rate. By extracting multiple parameters from the same received signal through advanced processing of the Doppler spectrum, the system achieves higher measurement precision without adding hardware complexity.
2Adaptability or versatility
If radar systems ignore crossing components, then the ease of operation is improved, but the adaptability to complex environments with multiple moving objects deteriorates
Solution Approach 1:
The patent segments the Doppler spectrum into different range bins and analyzes the Doppler bandwidth within each bin. This segmentation allows the system to identify and characterize multiple targets with different velocity components independently, enabling operation in complex environments with multiple moving objects while maintaining manageable processing through structured analysis.
Solution Approach 2:
By adding cross-range rate measurement to the traditional normal velocity measurement, the system creates a two-dimensional velocity space that can distinguish between different types of target motion (approaching, receding, crossing). This enhanced adaptability allows the radar to better handle complex environments with multiple moving objects.
3Reliability
If traditional radar systems measure only normal velocity, then the device complexity is reduced, but the reliability of autonomous vehicle control deteriorates
Solution Approach 1:
The patent makes the processing unit multi-functional by enabling it to extract multiple parameters (range, Doppler bandwidth, cross-range extent, cross-range rate) from the same received signal. This universal processing approach improves vehicle control reliability through more comprehensive target characterization while avoiding the need for additional specialized hardware devices.
Solution Approach 2:
The processing unit is enhanced to perform parameter changes and transformations on the received signal, including Doppler spectrum analysis, range bin segmentation, and calculation of derived parameters like cross-range rate. These parameter transformations improve control reliability by providing more complete target dynamics information without requiring separate measurement devices.
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 enables the determination of crossing target dynamics, enhancing the radar system's ability to track and control autonomous vehicles by accurately measuring object crossing speed and cross-range extent, improving object tracking and avoidance capabilities.
Implementation Method 1
Some systems may also estimate relative motion of reflective objects based on Doppler frequency shifts in the received reflected signals
Implementation Method 2
Radio detection and ranging (RADAR) systems can be used to actively estimate distances to environmental features by emitting radio signals and detecting returning reflected signals
Data Source
AI summary
Disclosed herein are embodiments that relate to crossing target dynamics for a radar system. In one aspect, the present application describes a method for use with a radar system. The method includes transmitting at least one signal pulse. The method also includes receiving a signal associated with reflection of the at least one transmitted signal pulse. Further, the method may also include processing the received signal to determine a cross-range rate. The processing may include determining a Doppler bandwidth based on the received signal. Additionally, the processing may include determining a range based on the received signal. Yet further, the processing may include determining a cross-range extent based on the received signal. Additionally, the processing may include determining the cross-range rate for the target object based on the determined Doppler bandwidth, range, and cross-range extent. An autonomous vehicle may be controlled based on the determined cross-range rate.