Vehicle Radar DSP Interference Removal via Spectral Extraction
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Solution Overview
Problem
Vehicle radar systems face interference issues in multi-radar environments, leading to increased noise floors and reduced range, with existing methods either damaging desired signals or failing to provide accurate interference removal.
Innovation Solution
A vehicle radar system that uses a DSP function to identify and replace sections of the digital IF signal exhibiting interference, forming an approximation signal in the time domain, which reduces interference levels after FFT processing and minimizes false targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference is removed by deleting blocks of digital samples with elevated noise levels, then interference is reduced, but the noise floor is raised due to creation of sidelobes following FFT processing
Solution Approach 1:
The patent extracts and removes only the specific interfering frequency components from the signal spectrum while preserving the rest of the signal. By identifying and eliminating discrete interference frequencies rather than deleting entire time-domain sample blocks, the method avoids creating sidelobes that would raise the noise floor, thus resolving the contradiction between interference reduction and noise floor maintenance
Solution Approach 2:
The patent applies local quality by targeting specific frequency components that contain interference for removal, while leaving the remaining signal components intact. This selective approach in the frequency domain allows precise removal of harmful interference without affecting the overall signal quality or introducing artifacts that would elevate the noise floor
2Object-affected harmful factors
If interference is removed by filtering using an FIR filter after converting digital signals to the frequency domain, then interference is reduced, but the desired signal is damaged
Solution Approach 1:
The patent extracts and removes only the specific interfering frequency components from the signal spectrum while preserving the rest of the signal. By identifying and eliminating discrete interference frequencies rather than applying broad filtering, the method avoids damaging the desired signal components, thus resolving the contradiction between interference reduction and signal preservation
Solution Approach 2:
The patent applies local quality by targeting specific frequency components that contain interference for removal, while leaving the remaining signal components intact. This selective approach in the frequency domain allows precise removal of harmful interference without affecting the overall signal quality or introducing artifacts that would elevate the noise floor
3Object-affected harmful factors
If interpolation is used for removing interference, then interference is reduced, but accuracy is insufficient
Solution Approach 1:
The patent replaces the mechanical interpolation process with a direct frequency-domain filtering approach. Instead of estimating and reconstructing signal values through interpolation, the method directly removes interfering frequency components in the spectral domain, achieving superior accuracy by targeting the root cause of interference rather than attempting to smooth over its effects
Data Source
AI summary
A vehicle radar system (3) having at least one transceiver arrangement (7) arranged to generate, transmit and receive reflected radar signals. The transceiver arrangement (7) includes an ADC arrangement (10) that is arranged to output a digital IF signal (20) in a time domain to a DSP arrangement (12). A first DSP function (12a) is arranged to: identify and retain sample points of the digital IF signal (20) in a spectral domain with signal components that exceed a certain level threshold, such that an approximation signal (36) is formed in the time domain, identify possible sections (37) of the digital IF signal (20) in the time domain that exhibit interference exceeding an interference threshold, determine whether or not to replace such sections (37) with equivalent sections (38) of the approximation signal (36), and if applicable, replace such sections (37) with equivalent sections (38) of the approximation signal (36).