Radar Object Detection in Components With Background Signal Removal
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Solution Overview
Problem
Existing locating devices face challenges in accurately detecting objects in components with strong background signals, particularly in spot view applications, due to the need for moving the device to remove background signals, which restricts performance and complicates detection of larger objects.
Innovation Solution
A method involving analysis of radar data to identify and remove background signals using defined threshold values, allowing for accurate object detection by comparing signal strengths and amplitudes, and employing multiple radar channels to enhance detection accuracy and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the co-polarization channel is used for object detection, then detection capability for thicker objects is improved, but the strong background signal from surface reflectance makes object detection difficult
Solution Approach 1:
The patent extracts and removes the background signal (first signal) from the radar data before object detection. By identifying the earliest reflection signal corresponding to the component surface and removing it, the method eliminates the harmful background signal while preserving the object detection capability of the co-polarization channel.
Solution Approach 2:
The patent performs preliminary signal processing by determining and removing the background signal before actual object detection. This preliminary action of signal removal prepares the radar data for subsequent object detection, enabling accurate detection without the interference of strong background signals.
2Object-generated harmful factors
If the locating device is moved to remove background signal, then background signal removal is achieved, but spot view application is no longer possible
Solution Approach 1:
The patent replaces the mechanical approach (moving the locating device) with a signal processing approach (mathematically removing background signal from radar data). This substitution allows background signal removal without physical device movement, preserving spot view capability while eliminating background interference.
3Object-generated harmful factors
If circular polarized channel is used, then background signal is minimized, but detection performance for certain objects is reduced
Solution Approach 1:
The patent combines multiple radar channels (circular polarized channel with weak background signal and co-polarization channel with strong object detection capability) to achieve both low background signal and high object detection performance. By processing data from multiple channels and removing background signals, the method achieves superior overall detection performance.
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
Enables precise object detection in various scenarios, including those with insufficient resolution or deep objects, by filtering background signals and utilizing different radar channels, thereby improving accuracy and reducing failure susceptibility.
Implementation Method 1
a radar system (3) of the locating device (2), wherein the radar system (3) is disposed in an area of the component (1) and emits a radar signal towards the component (1) for the detection of the radar data
Implementation Method 2
a first signal in the radar data which is specific for an earliest reflection in the radar data is determined
Data Source
AI summary
A method for performing an object detection in a component with a locating device is disclosed. Also disclosed is a computer program, an apparatus, a storage medium, and a locating device for this purpose.