Multipath Reflection Correction in Radar Sensor Data
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Solution Overview
Problem
Detection and ranging systems, such as RADAR and LIDAR, face challenges due to multipath reflections, where electromagnetic waves reflect off an object and additional surfaces before reaching the sensor, leading to inaccurate data points, wasted information, and false positives/negatives.
Innovation Solution
A method and system using a surface model to identify and correct sensor points resulting from multipath reflections by determining the point of reflection and mirroring the sensor point across a surface plane, employing techniques like binary search or linear step progression, and transforming data into a common coordinate system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic waves are transmitted to detect objects, then object detection capability is improved, but multipath reflections cause inaccurate data points and false readings
Solution Approach 1:
The system performs preliminary actions by transmitting electromagnetic waves and receiving reflections before final object detection, but also performs preliminary identification of multipath reflections using surface models and geometric analysis to correct inaccurate data points before they affect final detection results
Solution Approach 2:
The patent introduces an intermediary processing step that uses surface models and geometric analysis to identify and correct multipath reflection points. This intermediary layer between raw sensor data and final object detection helps filter out false readings caused by multipath reflections
2Quantity of substance
If sensor points from multipath reflections are included in detection data, then data completeness is improved, but detection accuracy deteriorates due to false positives and negatives
Solution Approach 1:
The patent segments the detection data by identifying and separating multipath reflection points from valid object points. By determining points of reflection on surface models and analyzing geometric relationships, the system divides the sensor data into authentic object reflections and multipath artifacts, allowing both to be processed appropriately
Solution Approach 2:
The system extracts and removes multipath reflection points from the detection data using surface model analysis and geometric criteria. By identifying points that lie below surface models or exhibit characteristic multipath geometric patterns, the system extracts these problematic points and excludes them from final object detection
3Measurement precision
If correction processing is applied to sensor points, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary organization of sensor data by transforming points into a common coordinate system and pre-identifying potential multipath reflection candidates using surface model comparisons, which simplifies the subsequent correction processing by pre-filtering and pre-organizing the data
Solution Approach 2:
The patent uses copying by creating surface models that represent the environment and using these models to identify reflection points. The correction process copies geometric relationships from the surface model to correct the sensor point locations, replacing inaccurate multipath points with corrected positions based on model-derived geometry
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
This approach improves the accuracy of object detection and location by distinguishing and correcting multipath reflection points, reducing false readings and enhancing data reliability in automotive applications.
Implementation Method 1
a receiver to receive electromagnetic waves reflected off an object back to the receiver
Implementation Method 2
correcting the location of the first sensor point based on the first point of reflection on the surface of the surface model
Data Source
AI summary
Ranging and detection data is processed to identify or correct for multipath reflection. A sensor point that represents a location of an object, the location based on an incidence of an electromagnetic wave received at a sensor is obtained. The first sensor point is determined to be a product of multipath reflection. A first point of reflection on a surface of a surface model is determined. The location of the first sensor point is corrected based on the first point of reflection on the surface of the surface model.