Radar Interference Processing for Reflected-Wave Detection
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Solution Overview
Problem
Existing radar devices face inaccuracies in measuring objects due to interference from other radar devices, leading to erroneous determination of sidelobes and reduced accuracy in object measurement.
Innovation Solution
A radar device with an interference signal processing unit that determines an interference range, generates a modified sample signal by reducing signal intensity in this range, converts to a frequency domain, and calculates an evaluation value to distinguish true partial signals from sidelobes, ensuring accurate object measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If interference signal processing is performed by simply setting amplitude to zero in the interference range, then the interference component is removed, but true partial signals may be erroneously determined as sidelobes, reducing measurement precision
Solution Approach 1:
The patent replaces simple amplitude thresholding (mechanical approach) with spectral analysis using Fast Fourier Transform (FFT) and correlation-based detection. By transforming the time-domain signal to frequency domain and analyzing spectral characteristics, the system can distinguish true partial signals from interference components based on their frequency signatures, thereby maintaining measurement precision while removing interference.
Solution Approach 2:
The patent implements a feedback mechanism where the detected interference range and identified true partial signals are used to update the correlation template. This adaptive approach allows the system to learn from previous detections and improve its ability to distinguish true signals from interference, preventing erroneous determination of sidelobes while maintaining effective interference removal.
2Object-affected harmful factors
If the amplitude is set to zero in the interference range to remove interference, then the interference component is eliminated, but the complexity of signal processing increases due to the need to distinguish true partial signals from sidelobes
Solution Approach 1:
The patent segments the signal processing into distinct functional modules: FFT-based spectral analysis, correlation-based true signal detection, interference range determination, and amplitude restoration. This modular segmentation allows each component to perform its specific function efficiently, managing processing complexity while achieving accurate interference removal and true signal preservation.
3Device complexity
If interference removal is performed without evaluating whether partial signals are derived from reflected waves, then processing is simpler, but the accuracy of object measurement is reduced due to sidelobe misidentification
Solution Approach 1:
The patent performs preliminary spectral analysis and true signal detection before final interference removal. By using FFT to identify frequency components and correlation analysis to detect true partial signals in advance, the system establishes an accurate basis for interference removal, ensuring that true signals are preserved while interference is eliminated, thereby maintaining high measurement precision.
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 device accurately determines true partial signals, reducing the likelihood of sidelobe misidentification and enhancing the accuracy of object measurement by generating an interference-removed signal.
Implementation Method 1
a transmitter configured to emit a transmission signal as an electromagnetic wave
Implementation Method 2
a receiver configured to receive, as a reception signal, a reflected wave representing the electromagnetic wave reflected by an object
Implementation Method 3
a beat signal generator configured to generate a beat signal based on the transmission signal and the reception signal
Data Source
AI summary
An interference signal processing unit of a radar device is configured to: determine an interference range in a sample signal; generate a modified sample signal by multiplying the sample signal by a reduction signal; convert the modified sample signal into a first frequency domain sample signal in a frequency domain; convert the reduction signal into a subtraction template signal in a frequency domain; calculate an evaluation value based on the first frequency domain sample signal and the subtraction template signal so as to determine whether a partial signal of the first frequency domain sample signal is derived from a reflected wave from an object; and generate an interference-removed signal so that a time domain signal based on the partial signal determined as derived from the reflected wave based on the evaluation value is included in the corresponding range of the interference-removed signal.