Single-Antenna Radar Object Counting with Inertia Tracking
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Solution Overview
Problem
Existing object sensing technologies, such as infrared sensing and photo identification, are prone to errors due to environmental factors and privacy concerns, while linear frequency modulated continuous wave (FMCW) radars face challenges in multi-object detection with single antenna radars leading to tracking errors from object position overlapping.
Innovation Solution
A method and apparatus using a single antenna radar that processes initial sensing data through a processor to convert it into pre-processing data, determining feature parameters like peaks, and adjusting inertia based on matching and inertia to accurately count the number of objects, employing techniques like FFT, denoising, normalization, and CFAR algorithms to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single antenna radar is used, then device complexity is reduced, but measurement precision deteriorates due to position overlapping of moving objects causing tracking errors
Solution Approach 1:
The patent segments the sensing data processing into multiple independent modules: initial sensing data generation, pre-processing, feature parameter extraction, inertia calculation, and object counting. This segmentation allows the single antenna radar to handle multi-object detection by dividing the complex processing task into manageable stages, each handling specific aspects of data analysis to improve measurement precision without adding physical antenna components
Solution Approach 2:
The patent introduces a time dimension to distance measurements by calculating inertia values that represent the duration objects exist at specific distances across multiple time points. This temporal dimension allows the system to distinguish between objects that may have overlapping spatial positions but different temporal presence patterns, thereby improving measurement precision with a single antenna
2Quantity of substance
If multiple objects are detected simultaneously, then object counting capability is improved, but tracking accuracy deteriorates due to position overlapping
Solution Approach 1:
The patent dynamically adjusts the inertia values of feature parameters based on the temporal continuity and matching of objects across different time points. By making the inertia calculation adaptive to the specific characteristics of detected objects and their movement patterns, the system maintains high tracking accuracy even when multiple objects are present and may have overlapping positions at different times
Solution Approach 2:
The patent implements a feedback mechanism where the inertia calculated from current time point data is fed back to verify and adjust object identification in subsequent time points. This feedback loop allows the system to correct tracking errors and maintain reliability in multi-object scenarios by continuously validating object presence and identity based on temporal consistency
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
Improves the accuracy of object counting in multi-object scenarios by tracking feature parameters and adjusting inertia, reducing tracking errors and privacy concerns, while maintaining reliable object detection.
Implementation Method 1
a single antenna, a transmitting circuit, a receiving circuit and a processor. The transmitting circuit is coupled to the single antenna and configured to transmit a sensing signal. The receiving circuit is coupled to the single antenna and configured to receive an echo of the sensing signal
Implementation Method 2
The initial sensing data is converted into pre-processing sensing data. The pre-processing sensing data includes a corresponding relationship between multiple distances and the sensing intensities at the time points
Implementation Method 3
a linear frequency modulated continuous waves (FMCW) have been widely used in radar applications. Existence of an object may be further estimated according to a phase difference between two chirp signals in radar echo waves
Data Source
AI summary
An object sensing method and a radar apparatus are provided. In the method, initial sensing data is obtained through a single antenna. The initial sensing data is generated according to an echo received by the single antenna. The initial sensing data includes sensing intensities of multiple time points. The initial sensing data is converted into pre-processing sensing data. The pre-processing sensing data includes a corresponding relationship between multiple distances and the sensing intensities at those time points. One or more feature parameters of the pre-processing sensing data are obtained. The feature parameters respond to the existence of one or more objects. Inertia of the feature parameter between those time points is determined. The inertia is a period when the object exists at those time points. The number of objects is determined according to inertia. Accordingly, the accuracy of number estimation is improved.