FMCW Radar Noise Detection via Power Supply Oscillation Analysis
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Solution Overview
Problem
FMCW radar devices struggle to detect noise that dynamically changes based on target behavior, as existing methods fail to account for noise generated by oscillations in power supply bias circuits.
Innovation Solution
An FMCW radar device with a control unit that analyzes beat signals to identify peak frequencies, estimates target orientations, and determines if three or more targets with the same relative speed are present at the same orientation, indicating oscillation in the power supply bias circuit, allowing for noise detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the method in PTL 1 is used to remove steady noise components, then noise removal capability is improved, but the ability to detect dynamically changing noise is lost
Solution Approach 1:
The patent segments the noise detection problem into two distinct parts: (1) removal of steady noise components using spectral distribution data comparison, and (2) detection of dynamically changing noise by analyzing target behavior patterns. This segmentation allows each method to optimize for its specific noise type without interfering with the other.
Solution Approach 2:
The patent introduces dynamic analysis by monitoring changes in target behavior over time. When the same target appears multiple times with significantly different relative speeds, the system identifies this as dynamic noise behavior, distinguishing it from steady noise that maintains constant characteristics.
2Measurement precision
If circuits are considered separately to analyze noise sources, then noise source identification is improved, but complexity of the analysis system increases
Solution Approach 1:
The control unit performs multiple functions: it processes beat signals, identifies targets, calculates relative speeds, determines orientations, and detects noise. By consolidating these functions in a single control unit, the patent achieves comprehensive noise source identification without proportionally increasing system complexity.
Solution Approach 2:
The system uses its own operational data (beat signals, target positions, speeds) to diagnose noise conditions. The control unit analyzes patterns in the radar data to self-identify noise sources without requiring external diagnostic equipment or separate measurement systems.
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
Enables the detection of noise that dynamically changes with target behavior by identifying oscillations in the power supply bias circuit, improving the accuracy of distance and speed calculations in FMCW radar systems.
Implementation Method 1
an electromagnetic wave, such a wave in the millimeter-wave region, is transmitted such that the frequency thereof linearly increases and decreases in relation to time
Implementation Method 2
The received wave is mixed with the transmitted wave, and as a result, a signal (beat signal) that has a frequency (beat frequency) proportional to the relative distance of the target is extracted
Implementation Method 3
Fast-Fourier transform (FFT) analysis is performed on the extracted beat signal, the frequency is extracted by peak detection
Implementation Method 4
the frequency is extracted by peak detection, and the relative distance and the like of the target is calculated from the frequency
Data Source
AI summary
In a FMCW radar device, a transmission unit transmits a transmission signal that has a rising portion in which the frequency successively increases and a falling portion in which the frequency successively decreases. A reception unit receives a reception signal resulting from the transmission signal being reflected by a target and outputs a beat signal based on the transmission signal and the reception signal. A control unit determines whether or not three or more targets that have the same relative speed are present at the same orientation among a plurality of targets extracted from a plurality of peak frequencies in each of the rising portion and the falling portion of the beat signal, and when determined that three or more targets are present, gives notification that oscillation has occurred in a power supply bias circuit that supplies power supply voltage to the transmission unit or the reception unit.