Near-range interference mitigation for automotive radar system
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Solution Overview
Problem
Automotive radar systems suffer from poor near-range estimation due to bumper reflection and MMIC/antenna coupling, leading to interference in the 0-15 cm range, which obscures detection of nearby objects and degrades radar performance in parking and low-speed operations.
Innovation Solution
An adaptive filter using a recursive least squares (RLS) algorithm processes range-compressed signals to estimate the RF channel transfer function, allowing precise removal of interference from transmitting-vehicle bumper reflections and component coupling, enhancing the accuracy of near-range object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If high-pass filters are used to reduce interference from bumper reflection and component coupling, then interference in certain frequency ranges is reduced, but interference in the 0 iso-Doppler line in the 0 cm to 15 cm range cannot be removed, resulting in poor near-range detection performance
Solution Approach 1:
The patent segments the interference removal process into multiple stages: first applying high-pass filters to reduce general interference, then applying range-specific filtering to address the 0-15cm near-range interference separately. This segmentation allows each filtering stage to be optimized for its specific frequency and range characteristics, resolving the contradiction between general interference reduction and specific near-range detection accuracy.
Solution Approach 2:
The patent applies different filtering characteristics to different range regions. Specifically, it uses specialized filtering for the 0-15cm near-range region where interference occurs, while allowing other ranges to be processed with standard filtering. This local quality approach enables precise interference removal in the problematic near-range zone without compromising overall detection performance.
2Object-affected harmful factors
If traditional filtering methods are used to remove interference, then some interference is reduced, but the 0 iso-Doppler line in the 0 cm to 15 cm range remains contaminated, preventing accurate detection of nearby objects
Solution Approach 1:
The patent employs dynamic filtering that adapts to the specific characteristics of interference in the 0-15cm range. The filtering parameters and characteristics are adjusted dynamically for the near-range region, allowing the system to respond to the specific frequency and temporal patterns of multipath interference in this critical zone, thereby improving detection reliability.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor and adjust the filtering process. By analyzing the residual interference in the 0-15cm range and adjusting filter parameters accordingly, the system can progressively improve its ability to remove multipath interference and enhance detection reliability in near-range scenarios.
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
The solution effectively removes unwanted multipath signals, improving the signal-to-noise ratio and enabling accurate detection of nearby targets, thereby enhancing radar system performance in near-range scenarios.
Implementation Method 1
A radar system transmits an electromagnetic signal and receives back reflections of the transmitted signal
Implementation Method 2
An adaptive filter using a recursive least squares (RLS) algorithm processes range-compressed signals to estimate the RF channel transfer function, allowing precise removal of interference
Data Source
AI summary
A signal processing system and method includes a first input configured to receive an input signal range profile. The input signal range profile includes near-range interference signals. A second input is configured to receive a reference signal range profile; and a processor is configured to perform steps including: executing a recursive least squares operation to determine coefficient values of a finite impulse response (FIR) filter, wherein the coefficient values are selected to minimize a difference between the input signal range profile and the reference signal range profile when the reference signal range profile is filtered through the FIR filter to generate a filtered reference signal range profile, and subtracting the filtered reference signal range profile from the input signal range profile to remove the near-range interference signals from the input signal range profile.