Vehicle Radar Transceiver Alignment Estimation
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Solution Overview
Problem
Existing methods for calibrating and determining the alignment of vehicle radar transceivers are complex, time-consuming, and costly, and they require recalibration over time due to manufacturing and assembly variations, as well as potential misalignments caused by vehicle components or accidents.
Innovation Solution
A measuring system that uses a radar system comprising a radar transceiver and a control unit to transmit and receive radar signals, determine azimuth and elevation angles, and estimate the pitch and roll angles of the radar transceiver with respect to a fixed coordinate system, using equations and numerical methods such as non-linear least square fit or Bayesian inference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration methods are used to determine radar transceiver alignment, then measurement precision can be achieved, but device complexity and time consumption increase significantly
Solution Approach 1:
The radar transceiver performs self-calibration by using its own radar signals and processing unit to automatically determine alignment parameters. The processing unit calculates pitch and roll angles by analyzing radar signal characteristics from known reference points, eliminating the need for external calibration equipment and complex measurement systems.
Solution Approach 2:
The patent replaces mechanical alignment measurement devices with a computational approach using radar signal processing. Instead of physical measurement tools, the system uses electromagnetic wave reflections and mathematical algorithms to determine alignment, reducing device complexity while maintaining precision.
2Manufacturing precision
If factory calibration is performed to ensure accurate sensor output, then manufacturing precision is improved, but productivity decreases due to time-consuming processes
Solution Approach 1:
The radar transceiver is equipped with a processing unit that enables it to perform its own calibration operations. By using pre-stored reference data and analyzing radar signal characteristics from known positions, the system automatically determines and corrects alignment parameters without requiring factory calibration equipment or technician intervention, significantly improving manufacturing throughput.
3Reliability
If recalibration is performed over time to account for misalignment changes, then reliability is maintained, but loss of time and operational inconvenience increase
Solution Approach 1:
The processing unit continuously monitors radar signal characteristics and automatically updates alignment parameters in real-time operation. This continuous self-calibration approach maintains reliability by constantly correcting for drift or misalignment without requiring periodic shutdowns or manual recalibration, eliminating time loss and operational inconvenience.
4Measurement precision
If complex calibration procedures are implemented to account for pitch, roll, and yaw angles, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically determines all three rotational alignment parameters (pitch, roll, and yaw) through signal processing without requiring manual intervention. The processing unit analyzes radar signal characteristics and independently calculates the complete alignment state, eliminating the need for operators to perform complex manual calibration procedures while maintaining high angular precision.
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 system allows for accurate and uncomplicated estimation of the pitch and roll angles of the radar transceiver, enabling correct transformation of radar targets into vehicle coordinate systems and compensating for misalignments, thus improving the precision and reliability of radar systems.
Implementation Method 1
A measuring system is adapted to transmit radar signals, receive reflected radar signals that have been reflected by at least one target object
Data Source
AI summary
A measuring system (12) for determining the alignment of a vehicle radar transceiver (3), having a pitch angle (φp) and a roll angle (φr). The measuring system (12) is adapted to: transmit radar signals (5), receive reflected radar signals (6) that have been reflected by at least one target object (7), and to determine a determined azimuth angle (θdet) and a determined elevation angle (ψdet) to each target target object (7) relative a reference plane (R) by means of the reflected radar signals (6). The measuring system (12) is further adapted to: assume that each target object (7) and the radar transceiver (3) are positioned in a common plane (P) at a distance (d) from a ground level (G); and to estimate the pitch angle (αp) and the roll angle (αr) of the radar transceiver (3) with respect to a fixed coordinate system (x, y, z) using the determined angles (θdet, ψdet) such that the equationψdet=atan (sin(θdet)*tan(φr)-cos(θdet)*tan(φp)cos(φr))is satisfied.