Radar Antenna Phase Shift Calibration via Signal Energy Peak Width
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Solution Overview
Problem
Existing FMCW radar systems face challenges in accurately calibrating sensors for self-driving cars, as current calibration methods for target detection are not fully satisfactory, affecting the precision of distance and velocity measurements.
Innovation Solution
The method involves forming detection, range, and direction-of-arrival matrices through frequency transforms of signals from transmit and receive antennas, allowing for the adjustment of phase shifts based on peak widths to improve antenna calibration and signal concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional calibration methods are used for target detection, then the calibration process is simple, but the measurement precision of distance and velocity is insufficient
Solution Approach 1:
The radar system performs self-calibration by using detected targets as calibration references. The system automatically adjusts antenna phase shifts based on the direction of arrival of reflected signals from real targets, eliminating the need for external calibration equipment or complex manual procedures while improving measurement precision
Solution Approach 2:
The calibration process involves adjusting phase shift parameters of antenna elements based on measured direction of arrival data. By changing these phase parameters iteratively and evaluating peak width in the direction-of-arrival matrix, the system optimizes calibration accuracy without requiring complex hardware modifications
2Measurement precision
If antenna phase shifts are adjusted to improve signal concentration, then measurement accuracy improves, but the calibration complexity increases
Solution Approach 1:
The system uses feedback from the direction-of-arrival matrix analysis to iteratively adjust antenna phase shifts. By measuring the peak width of signal energy distribution and using this information to refine phase adjustments, the system automatically optimizes signal concentration while maintaining a manageable calibration process
Solution Approach 2:
The calibration focuses on adjusting only the phase shift parameters of the antenna elements rather than recalibrating the entire radar system. This partial action approach concentrates computational effort on the most critical parameters, improving signal concentration without requiring complete system recalibration
Data Source
AI summary
A radar detection method with receive antenna calibration includes: forming a detection matrix from signals detected by an arrangement of receive antennas in response to chirps transmitted by an arrangement of transmit antennas, the detection matrix having multiple rows corresponding to the chirps, multiple columns corresponding to a sample of the signals, and multiple planes corresponding the receive antennas; deriving a range matrix by performing a frequency transform on a portion of each row of the detection matrix; deriving a velocity matrix by performing a frequency transform on a portion of each column of the range matrix; deriving a direction-of-arrival matrix by performing a frequency transform on a portion of one or more layers of the velocity matrix; analyzing the direction-of-arrival matrix to determine a current peak width; and adjusting, based on the current peak width, phase shifts associated with one or more antennas.