Adaptive Doppler Window Function Selection for Radar SNR
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Solution Overview
Problem
Existing radar systems face challenges in maintaining signal-to-noise ratio (SNR) while increasing the Doppler dynamic range, particularly due to the use of window functions like the Chebyshev window, which results in SNR loss.
Innovation Solution
The radar system adapts by selecting between different window functions based on the presence of a dominant target in the sensing environment. When a dominant target is present, a Chebyshev window function with higher dynamic range and lower SNR is used, and when not, a Taylor window function with higher SNR and lower dynamic range is selected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a Chebyshev window function is used to increase Doppler dynamic range, then the Doppler dynamic range is improved, but the signal-to-noise ratio (SNR) deteriorates
Solution Approach 1:
The patent implements adaptive window function selection where the system dynamically switches between Chebyshev and Taylor window functions based on real-time detection of dominant targets. When a dominant target is detected, the Chebyshev window is applied to maximize dynamic range for detecting additional targets. When no dominant target is present, the Taylor window is used to preserve SNR. This dynamic adaptation resolves the contradiction by allowing the system to optimize for dynamic range only when necessary, otherwise prioritizing SNR preservation.
Solution Approach 2:
The patent changes the parameter of window function selection based on environmental conditions (presence of dominant targets). The system monitors the radar environment and adjusts the window function parameter from Chebyshev to Taylor or vice versa, thereby adapting the balance between dynamic range and SNR preservation to match the actual sensing requirements of the current environment.
2Reliability
If a Taylor window function is used to maintain signal-to-noise ratio, then the signal-to-noise ratio (SNR) is improved, but the Doppler dynamic range deteriorates
Solution Approach 1:
The system dynamically selects the appropriate window function based on the presence of dominant targets. In environments without dominant targets, the Taylor window is automatically selected to preserve SNR, accepting the trade-off of reduced dynamic range under these specific conditions. This dynamic selection allows the system to optimize for SNR when the detection scenario does not require enhanced dynamic range capabilities.
3Measurement precision
If residue estimation and subtraction technique (REST) is applied to remove residue, then the Doppler dynamic range is improved, but the processing complexity increases
Solution Approach 1:
The patent implements conditional application of the REST technique based on the detection of dominant targets. When a dominant target is present and causes interference, the REST technique is activated to remove residue and enhance dynamic range. When no dominant target is present, the REST technique is skipped to avoid unnecessary processing complexity. This dynamic conditional execution resolves the contradiction by applying complex processing only when it provides beneficial effect.
Data Source
AI summary
Systems and methods for adaptive Doppler window function selection are provided and include a radar system that determines whether a dominant target is present in a sensing environment of the radar system based on received radar signals reflected from an object and selects either a first window function or a second window function based on whether the dominant target is present in the sensing environment. The radar system performs a Doppler fast Fourier transform (FFT) procedure with the selected window function. The first and second window functions have different signal-to-noise ratio (SNR) degradations when used in performing the Doppler FFT procedure. The radar system also determines information about the object based on performing the Doppler FFT procedure, the information including at least one of a location, a size, an orientation, a velocity, and an acceleration of the object.