Radar Channel Offset Correction Using Stationary Object Feedback

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Solution Overview

Problem

Radar devices used in vehicles for object detection often become out of calibration due to aging and environmental factors, leading to inaccurate target detection and potential false readings, as they rely on periodic calibration with known targets which is not feasible in dynamic conditions.

Innovation Solution

Implementing channel offset correction circuitry that uses radar data during normal operation to self-calibrate by identifying stationary objects and determining a correction vector based on the vehicle's motion relative to these objects, compensating for phase offsets caused by aging and environmental changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If periodic calibration with known targets is used to maintain radar accuracy, then measurement precision is improved, but device complexity and operational disruption increase due to the need for calibration targets and periodic shutdowns

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidcalibration system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The radar system performs self-calibration by using its own received radar data to identify stationary objects and compute correction vectors, eliminating the need for external calibration targets and reducing system complexity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors radar data, compares detected stationary object positions with expected positions, and automatically adjusts channel offsets based on the computed correction vectors, creating a closed-loop feedback mechanism for maintaining accuracy

Inventive Principle:
Principle #23Feedback

2Measurement precision

If periodic calibration with known targets is implemented, then measurement precision is improved, but productivity decreases due to operational interruptions and time loss

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidoperational continuity
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The calibration process occurs continuously in the background during normal radar operation using received radar data, eliminating periodic shutdowns and maintaining uninterrupted target detection while continuously correcting channel offsets

Inventive Principle:
Principle #20Continuity of useful action

3Measurement precision

If traditional calibration methods relying on known targets are used, then measurement precision is maintained, but adaptability decreases in dynamic conditions where calibration targets are not available

Engineering Contradiction:
Improvetarget detection accuracyVSAvoidcalibration flexibility in dynamic conditions
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The radar system uses its primary radar data reception function for dual purposes: both target detection and self-calibration, by identifying stationary objects from the same received signals used for detection, making the system adaptable to all operational conditions without requiring specialized calibration targets

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12578426B2Channel offset correction for radar data
Publication Date: 2026.03.17 INFINEON TECHNOLOGIES AG
  • US12578426B2 patent drawing
  • US12578426B2 patent drawing
  • US12578426B2 patent drawing

AI summary

Systems, methods, and circuitries are provided for calibrating a radar system to compensate for a channel offset. In one example, a method is disclosed for processing radar signals with a radar device. The method includes including receiving respective radar signals from respective virtual receive channels, wherein each virtual receive channel corresponds to a combination of a transmit antenna element and a receive antenna element of an antenna element array. Respective received radar data is generated from the respective radar signals and the radar date is processed to identify one or more stationary objects. Based on the radar data, an estimated radar device motion relative to the one or more stationary objects is determined. A difference between the estimated radar device motion and an expected motion of the radar device is determined and a correction vector is determined based on the difference. The correction vector to is applied to subsequent radar data.