Vehicle Radar Antenna Array Online Phase Calibration
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Solution Overview
Problem
Existing vehicle radar systems require offline calibration, which is resource-intensive, time-consuming, and becomes less effective over time due to environmental degradation and wear and tear, leading to performance variance and potential system failure without real-time adjustment.
Innovation Solution
The implementation of online array calibration techniques that allow for real-time adjustment of vehicle radar systems during operation. This involves gathering diagnostic data across multiple time intervals, center frequencies, and waveform types to assess radar unit performance and update phase calibration data as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline calibration is performed, then initial radar system accuracy is achieved, but the system becomes resource-intensive, time-consuming, and less effective over time due to environmental degradation
Solution Approach 1:
The patent transitions from static offline calibration to dynamic online calibration, where phase calibration data is continuously updated during vehicle operation. The system dynamically adjusts phase offsets based on real-time environmental conditions, allowing the radar system to adapt to degradation and maintain accuracy without requiring periodic shutdowns for recalibration.
Solution Approach 2:
The radar system performs self-calibration by using its own operational data to generate updated phase calibration data. The processor automatically compares new phase offsets against existing calibration data and updates the system without external intervention, eliminating the need for resource-intensive offline calibration procedures.
2Reliability
If offline calibration is performed periodically, then calibration updates are achieved, but system performance varies between calibrations and costs increase
Solution Approach 1:
The patent implements continuous calibration during vehicle operation rather than periodic offline calibration. The system continuously gathers diagnostic data, updates phase calibration data in real-time, and maintains consistent performance without interruption to vehicle operation or radar functionality.
Solution Approach 2:
The system incorporates feedback mechanisms where the processor continuously monitors radar signal characteristics, compares phase offsets against stored calibration data, and automatically updates calibration parameters when deviations exceed thresholds. This closed-loop feedback ensures consistent performance while maintaining operational continuity.
3Measurement precision
If traditional offline calibration methods are used, then comprehensive calibration data is collected, but the process is resource-intensive and requires system downtime
Solution Approach 1:
Instead of performing comprehensive calibration procedures periodically with system shutdown, the patent implements continuous lightweight calibration measurements during normal operation. The system periodically updates phase calibration data using operational radar signals, maintaining precision while consuming minimal additional resources compared to regular vehicle operation.
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
Online calibration techniques enhance the accuracy of phase offsets for beamforming, reduce sidelobe levels, and maintain consistent radar system performance without the downtime and costs associated with offline calibration, thereby ensuring reliable vehicle navigation and safety.
Implementation Method 1
Radio detection and ranging systems ('radar systems') are used to estimate distances to environmental features by emitting radio signals and detecting returning reflected signals
Implementation Method 2
Some radar systems may also estimate relative motion of reflective objects based on Doppler frequency shifts in the received reflected signals
Implementation Method 3
directional antennas can also be used to focus radiated energy on a given field of view of interest
Data Source
AI summary
An example method for using antenna array calibration to adjust radar unit operation involves receiving radar data from a radar unit coupled to a vehicle during vehicle operation in an environment, where the radar unit receives the radar data from the environment via an antenna array of the radar unit. The method also involves detecting an object in the environment based on the radar data, determining that the detected object satisfies a set of conditions, and, in response to the set of conditions being satisfied, estimating a first phase array offset for the antenna array. The method also involves comparing the first phase array offset with a second phase array offset that represents a prior calibration for the radar unit, and, based on a difference between the first and second phase array offsets exceeding a threshold difference, adjusting operation of the radar unit according to the first phase array offset.