Radar Interference Thresholding from FFT Target Components
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Solution Overview
Problem
Interference signals superimposed on radar device signals cause a rise in the noise floor after FFT processing, burying target signals and making them undetectable.
Innovation Solution
A radar device that removes interference signals by setting an appropriate threshold value using target components extracted from the frequency spectrum, allowing for accurate estimation of the target signal amplitude and calculation of a first threshold for interference removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interference signals are removed by setting a threshold value, then target signals can be detected, but target signals may be distorted or harmonics may be generated if the threshold is set inappropriately
Solution Approach 1:
The patent performs preliminary FFT processing to extract target components from the frequency spectrum before setting the interference removal threshold. By analyzing the frequency spectrum first, the system identifies target signal characteristics and uses this information to calculate an appropriate threshold that removes interference while preserving target signals. This preliminary spectral analysis ensures the threshold is set based on actual signal characteristics rather than arbitrary values.
Solution Approach 2:
The system uses feedback from the frequency spectrum analysis to dynamically adjust the threshold setting. The target extraction unit analyzes FFT results to identify target components, and this information feeds back to the threshold calculation process. The threshold is determined based on the relationship between interference signals and target signals as revealed by the spectral analysis, creating a closed-loop system that adapts to actual signal conditions.
2Ease of operation
If a fixed threshold is used for interference removal, then processing is simple, but it cannot adapt to varying signal conditions and may remove target signals
Solution Approach 1:
The patent transitions from a static fixed threshold to a dynamic adaptive threshold. The threshold calculation unit determines the threshold value based on the frequency spectrum analysis results, which vary with different signal conditions. This dynamic approach allows the system to adapt to changing interference levels and target signal characteristics while maintaining automated operation. The threshold changes automatically according to the detected signal environment.
Solution Approach 2:
The system changes the threshold parameter based on spectral analysis results. Instead of using a constant threshold value, the system calculates the threshold as a function of the frequency spectrum characteristics, specifically based on the relationship between interference and target signal components. This parameter adaptation enables the system to handle varying signal conditions effectively.
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
Effectively separates target components from interference, reducing the risk of signal distortion and harmonic generation while minimizing memory and processing requirements.
Implementation Method 1
a transmitting antenna configured to transmit transmission waves
Implementation Method 2
a receiving antenna configured to receive reflected waves
Implementation Method 3
Following Fast Fourier Transform (FFT) processing of amplitude digital signals
Data Source
AI summary
A radar device according to one aspect of the present disclosure includes a transmitting antenna, a receiving antenna, a signal acquisition unit, an interference removing unit, a spectrum acquisition unit, a target extraction unit, and a first threshold calculation unit. The interference removing unit is configured to remove an interference signal from the amplitude signal acquired. The interference signal has an amplitude value exceeding a first threshold. The target extraction unit is configured to extract at least one target component exceeding a set second threshold from a frequency spectrum. The first threshold calculation unit is configured to calculate the first threshold using the at least one target component extracted.