Adaptive Filtering for FMCW Interference in PMCW Radar
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Solution Overview
Problem
Conventional PMCW radar systems experience significant performance degradation due to interference from simultaneously operating FMCW radar systems, leading to errors in range, velocity, and direction estimation.
Innovation Solution
The implementation of an adaptive filtering technique in the PMCW radar system to mitigate the effects of interfering FMCW radar signals, using a processor to selectively filter out the interference from received RF signals, thereby improving the accuracy of range, velocity, and angle determination of objects in the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If PMCW radar operates simultaneously with FMCW radar, then radar coverage and detection capability are maintained, but interference from FMCW radar degrades measurement precision
Solution Approach 1:
The patent applies adaptive filtering to convert the harmful FMCW interference into useful information. By using the interfering signal to train the adaptive filter, the system learns to cancel out the interference pattern, transforming the harmful FMCW signal into a tool for improving measurement accuracy through interference cancellation.
Solution Approach 2:
The system implements feedback through adaptive filtering where the filter coefficients are continuously adjusted based on the received signal characteristics. The adaptive filter uses feedback from the interference signal to update its parameters, enabling dynamic cancellation of FMCW interference and maintaining measurement precision while operating alongside other radar systems.
2Reliability
If adaptive filtering is applied to received signals, then interference mitigation is improved, but device complexity increases
Solution Approach 1:
The adaptive filter operates autonomously by automatically adjusting its coefficients based on the received signal characteristics. The system performs self-training and self-adjustment without requiring external intervention or complex manual configuration, reducing operational complexity while maintaining high reliability in interference mitigation.
Solution Approach 2:
The patent utilizes parameter changes in the adaptive filter coefficients to optimize interference cancellation. By dynamically adjusting filter parameters based on signal conditions, the system achieves effective interference mitigation while keeping the processing algorithm relatively simple, avoiding the need for overly complex fixed-structure filters.
Data Source
AI summary
A radar sensing system for a vehicle includes a transmitter and a receiver. The transmitter is configured for installation and use on a vehicle. The transmitter is configured to transmit radio signals. The receiver is configured for installation and use on the vehicle. The receiver is configured to receive radio signals that include (i) the transmitted radio signals transmitted by the transmitter and reflected from objects in an environment, and (ii) other radio signals that include radio signals transmitted by at least one other radar sensing system. The receiver is configured to filter frequency modulated continuous wave (FMCW) radio signals from the received radio signals to produce filtered radio signals. The receiver is further configured to select between (i) the filtered radio signals, and (ii) the received radio signals before filtering. The filtered radio signals are selected when the other radio signals include FMCW radio signals.