Millimeter-Wave Radar Ghosting Removal via Exception Zone Segmentation
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Solution Overview
Problem
Millimeter-wave radar sensors experience ghosting issues due to improper refraction or reflection from high reflectivity surfaces, leading to errors in data interpretation during monitoring of designated areas.
Innovation Solution
A ghosting processing method is introduced, which involves emitting a radio wave signal, generating first point cloud distribution data, and performing a ghosting removal calculation based on predefined exception zones to generate second point cloud distribution data, thereby eliminating ghost points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If millimeter-wave radar sensor emits signals to monitor designated area, then target detection capability is improved, but ghosting errors occur due to reflection from high reflectivity surfaces
Solution Approach 1:
The monitoring area is divided into multiple zones including exception zones where ghosts are expected to occur. By segmenting the space and applying different processing rules to different zones, the system can identify and remove ghost points while preserving valid target detections in non-exception zones.
Solution Approach 2:
The patent extracts and removes ghost point cloud data from the overall point cloud distribution by comparing against predefined exception zones. This separation allows the system to eliminate harmful ghost reflections while maintaining the integrity of genuine target detections.
2Object-affected harmful factors
If ghosting removal calculation is performed using predefined exception zones, then ghosting errors are reduced, but data processing complexity increases
Solution Approach 1:
Exception zones are predefined and stored in coordinate data files before actual monitoring begins. This preliminary setup avoids the need for complex real-time calculations to identify exception areas, reducing processing complexity during operation while maintaining effective ghost removal.
Solution Approach 2:
The patent uses coordinate data files that represent the spatial distribution of exception zones as a simplified model or copy of the physical environment. This digital representation allows efficient comparison and ghost identification without requiring complex physical measurements during operation.
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
The method effectively reduces ghosting errors by identifying and removing point clouds corresponding to predefined exception zones, improving the accuracy of data interpretation and target tracking in monitored areas.
Implementation Method 1
a radio wave signal is emitted to the designated area wherein the radio wave signal is reflected by the designated area. Then, the reflected radio wave signal from the designated area is received
Data Source
AI summary
A ghosting processing method is used with a radio wave radar sensor for monitoring a designated area. The ghosting processing method includes steps of: emitting a radio wave signal to the designated area wherein the radio wave signal is reflected by the designated area; receiving and processing the reflected radio wave signal from the designated area to generate first point cloud distribution data; and performing a ghosting removal calculation based on the first point cloud distribution data and at least one predefined exception zone to generate second point cloud distribution data.