Radar Calibration via Segmented Azimuth Elevation Rotation
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Solution Overview
Problem
Conventional calibration processes for advanced radar systems are intensive and inefficient, particularly for two-dimensional MIMO radars, which require measuring calibration values for numerous azimuth and elevation angles to achieve accurate object detection and tracking.
Innovation Solution
A method involving physical rotation of the radar system to measure azimuth and elevation angles, deriving calibration matrices from these measurements, and applying them to antenna array responses to enhance accuracy in beamforming images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional calibration processes measure calibration values for each azimuth-elevation angle pair, then measurement precision is improved, but productivity deteriorates due to intensive measurement requirements
Solution Approach 1:
The calibration process is segmented into two independent parts: azimuth calibration and elevation calibration. Instead of measuring all azimuth-elevation angle pairs simultaneously, the method first performs azimuth calibration by rotating only the azimuth mechanism, then performs elevation calibration separately. This segmentation reduces the total number of measurements required while maintaining calibration accuracy for both dimensions.
Solution Approach 2:
The patent transforms the two-dimensional calibration problem (azimuth and elevation) into two separate one-dimensional calibration processes. By decoupling the calibration dimensions and treating them independently, the method reduces computational complexity and measurement requirements while achieving the same overall calibration accuracy.
2Measurement precision
If the number of azimuth and elevation angles to be measured is increased, then measurement precision is improved, but loss of time increases due to intensive calibration process
Solution Approach 1:
The calibration measurements are segmented into azimuth-only measurements and elevation-only measurements. This allows the system to perform fewer total measurements while still achieving accurate calibration for both dimensions, significantly reducing calibration time without sacrificing precision.
Solution Approach 2:
The azimuth calibration is performed as a preliminary step before elevation calibration. By completing the azimuth calibration first and storing the results, the system avoids redundant measurements during the elevation calibration phase, thereby reducing overall calibration time while maintaining accuracy.
Data Source
AI summary
A radar system and method for calibrating a radar system, the method including the steps of: measuring a set of azimuth angles of the radar system to obtain a plurality of measured azimuth array responses, wherein the radar system is physically rotated about a first axis of the radar system between each azimuth angle measurement; measuring a set of elevation angles of the radar system to obtain a plurality of measured elevation array responses, wherein the radar system is physically rotated about a second axis of the radar system between each elevation angle measurement; obtaining an azimuth calibration matrix based on the plurality of measured azimuth array responses and an elevation calibration matrix based on the plurality of measured elevation array responses; and configuring the radar system to apply the azimuth calibration matrix and the elevation calibration matrix to one or more antenna array responses.