Range Doppler Angle Detection via Selective FFT Column Extraction
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Solution Overview
Problem
Conventional Doppler radar gesture recognition systems face high computation loading due to complex 3D Fast Fourier Transform calculations, which adversely affect the normal operations of smart devices.
Innovation Solution
The method involves receiving and processing first and second sensing signals through 1D and 2D FFTs to generate 2D FFT maps, selecting specific columns based on a Doppler index, and performing 3D FFT only on these columns to calculate the range Doppler angle, reducing overall computation loading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D FFT is performed to all values in the 2D FFT maps to detect angle of object, then measurement precision of angle is improved, but computation loading increases
Solution Approach 1:
The patent extracts only the necessary columns from the 2D FFT maps based on Doppler index information, rather than performing 3D FFT on all values. This selective extraction reduces the data volume for angle detection while maintaining the precision for the specific gesture recognition application.
Solution Approach 2:
The patent segments the 3D FFT process by dividing it into two stages: first performing 2D FFT on the complete sensing data to obtain intermediate maps, then performing 3D FFT only on selected columns of these maps. This segmentation allows the system to maintain angle detection capability while reducing overall computational complexity.
2Adaptability or versatility
If gesture recognition function is added to smart device, then functionality is improved, but computation loading adversely affects normal operations
Solution Approach 1:
The patent extracts only the essential information needed for gesture recognition by selecting specific columns from the 2D FFT maps based on Doppler index. This extraction approach enables gesture recognition functionality while minimizing the computational burden on the smart device processor.
Solution Approach 2:
The patent applies partial action by performing 3D FFT only on a subset of columns rather than the complete dataset. This partial processing provides sufficient information for gesture recognition without the excessive computation that would adversely affect normal device operations.
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 reduces the computation loading of the gesture recognition function, minimizing the impact on smart device operations and enhancing the efficiency of the Doppler radar recognition system.
Implementation Method 1
Doppler radar gesture recognition system senses motions, shapes, or gestures exercised by a user and generates a corresponding Range Doppler Image (RDI)
Data Source
AI summary
A range Doppler angle detection method executed by a range Doppler angle detection device includes steps of: receiving a first sensing signal and a second sensing signal; performing 1D Fast Fourier Transform (FFT) and 2D FFT to the first sensing signal for calculating one first 2D FFT map; performing the 1D FFT and the 2D FFT to the second sensing signal for calculating one second 2D FFT map; picking up one column of the first 2D FFT map and one column of the second 2D FFT map according to a given Doppler index; performing the 3D FFT to the picked column of the first 2D FFT map and the picked column of the second 2D FFT map for calculating a range Doppler angle. Therefore, a computation loading of the gesture recognition function can be reduced.