Radar Receiver Phase Calibration for Single-Target Angle Accuracy

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Solution Overview

Problem

Radar sensors with multiple high-frequency components face accuracy issues due to phase differences caused by temperature fluctuations, which are not effectively addressed by factory calibration, especially in multi-target scenarios.

Innovation Solution

A method for recalibrating the phases of radar sensor components online by analyzing signal phases and detecting calibration errors through statistical evaluation of phase differences, particularly in single-target scenarios, and correcting phase offsets using computational methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If factory calibration is performed to eliminate phase differences, then initial calibration accuracy is improved, but calibration reliability deteriorates when operating conditions change

Engineering Contradiction:
Improvephase calibration accuracyVSAvoidcalibration stability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent transitions from static factory calibration to dynamic online calibration. The system continuously monitors phase differences during operation and automatically recalibrates when deviations exceed thresholds, making the calibration adaptive to changing thermal and operational conditions rather than fixed at factory settings.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements a feedback mechanism where phase differences are continuously measured and compared against calibration thresholds. When phase deviations exceed predefined limits, the system triggers automatic recalibration routines, creating a closed-loop control system that maintains calibration accuracy throughout the radar's operational life.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If multiple high-frequency components are used to improve angular resolution, then measurement precision is improved, but phase calibration reliability deteriorates due to temperature fluctuations

Engineering Contradiction:
Improveangular resolutionVSAvoidphase calibration stability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system dynamically adjusts calibration parameters for each high-frequency component based on real-time temperature monitoring and phase difference measurements, allowing each component to maintain optimal calibration despite individual thermal variations.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes calibration parameters (phase offsets, timing adjustments) based on measured temperature variations and phase deviations, allowing the system to compensate for thermal effects on multiple high-frequency components and maintain coherent phase relationships across the array.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If online recalibration is implemented to maintain calibration accuracy, then calibration reliability is improved, but device complexity increases

Engineering Contradiction:
Improvecalibration maintenanceVSAvoidrecalibration system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The radar system performs self-calibration using its own operational signals and built-in phase measurement capabilities. The calibration function is integrated into the normal signal processing path, eliminating the need for external calibration equipment or separate calibration hardware modules.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses discarded or unused signal components (such as direct path signals or known reference echoes) for calibration purposes, recovering useful calibration information from signals that would otherwise be filtered out or ignored during normal target detection operations.

Inventive Principle:
Principle #34Discarding and recovering

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

Enhances phase calibration accuracy and reliability by reducing statistical noise and correcting phase differences in real-time, improving angular resolution and measurement precision.

Implementation Method 1

Due to the Doppler effect, the frequency difference also contains a component that depends on the relative velocity of the detected object

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Implementation Method 2

Due to the radar signal's travel time and the frequency modulation itself, this frequency difference contains a distance-dependent component

Methodology Applied
Scientific EffectTime of flight: Time of Flight

Implementation Method 3

The signals received by the individual receiving antennas then exhibit a phase difference that depends on the angle of incidence of the radar echo

Methodology Applied
Scientific EffectPhase difference:

Data Source

PatentEP3794369B1Method for phase calibration of RF integrated circuits in a radar sensor
Publication Date: 2025.12.24 ROBERT BOSCH GMBH
  • EP3794369B1 patent drawingFigure 1
  • EP3794369B1 patent drawingFigure 2
  • EP3794369B1 patent drawingFigure 3

AI summary

The invention relates to a method for calibrating two receiving units (18) of a radar sensor, which has an array (20) of receiving antennas (E1 - E8) formed by two part-arrays (22, 24) and an evaluation device (32), which is designed to perform an angle estimation for localised radar targets by means of phase differences between the signals received by the receiving antennas (E1 - E8), each receiving unit (18) having parallel reception paths for the signals of the receiving antennas of one of the part-arrays (22, 24), characterised by the following steps: analysing the received signals and deciding whether a multi-target or a single-target scenario is present, in the event of a single-target scenario measuring phases of the signals received in the part-array (22, 24), and calculating a phase offset between the two part-arrays (22, 24), and calibrating the phases in the two receiving units (18) by means of the calculated phase offset.