Radar Apparatus Noise Elimination via Multi-Mode Frequency Analysis
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Solution Overview
Problem
FM-CW radar apparatuses face reduced target detection accuracy due to noise components within the effective frequency range or outside it, which can pass through the mixer and appear as peak signal components in the frequency spectrum, affecting the reliability of target detection.
Innovation Solution
The radar apparatus operates in multiple detection modes with different frequency change rates to generate and analyze beat signals, allowing for the comparison of peak signal components to identify and eliminate noise, thereby improving detection reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the radar apparatus uses a mixer to process received signals, then the detection range and functionality are improved, but noise components within and outside the effective frequency range pass through the mixer and appear as peak signal components in the frequency spectrum, reducing target detection accuracy
Solution Approach 1:
The patent segments the detection process into multiple detection modes with different frequency change rates. By dividing the frequency spectrum analysis into different rate segments, the system can identify and eliminate noise components that appear as peak signal components in the frequency spectrum, thereby improving target detection accuracy while maintaining extended detection range through the mixer.
Solution Approach 2:
The patent changes the frequency change rate parameter by implementing multiple detection modes with different rates. This parameter change allows the system to differentiate between actual target signals and noise components in the frequency spectrum, enabling effective noise elimination while preserving the benefits of extended detection range provided by the mixer architecture.
2Measurement precision
If the radar apparatus operates in multiple detection modes with different frequency change rates, then the ability to identify and eliminate noise is improved, but the device complexity increases
Solution Approach 1:
The patent implements multiple detection modes within the same radar apparatus, allowing a single device to perform multiple functions: extended range detection using the mixer and precise noise identification using different frequency change rates. This multi-functionality approach improves noise identification accuracy without requiring separate dedicated devices for each function.
Solution Approach 2:
The patent dynamically switches between different detection modes with different frequency change rates depending on the detection requirements. This dynamic operation allows the system to adapt to different scenarios, improving noise identification accuracy when needed while managing device complexity through intelligent mode selection rather than permanent complex architecture.
3Reliability
If the radar apparatus performs frequency analysis and peak component comparison, then the reliability of target detection is improved, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary frequency analysis and peak component comparison by operating in multiple detection modes with different frequency change rates. This preliminary action identifies potential noise components before final target detection, allowing the system to eliminate false positives early in the processing chain and improve overall detection reliability without excessive time loss.
Solution Approach 2:
The patent applies partial frequency analysis and peak component comparison selectively through multiple detection modes. Rather than performing exhaustive analysis on all signals, the system uses different frequency change rates to target specific frequency ranges where noise is most likely to appear, achieving improved detection reliability with reduced processing time by focusing computational resources on critical areas.
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
This approach effectively determines and eliminates noise components, enhancing the accuracy and reliability of target detection by distinguishing noise from actual target signals through frequency analysis and peak component comparison.
Implementation Method 1
Mixing the received signal Sr and the transmitted signal Ss together by a mixer generates a beat signal B that is comprised of frequency components of the difference between the received signal Sr and the transmission signal Ss
Implementation Method 2
the received signal Sr is shifted in frequency with respect to the transmission signal Ss; this frequency shift, referred to as fd, represents the Doppler shift of the received signal Sr with respect to the transmitted signal Ss. The Doppler shift fd depends on the relative speed between the target and the radar
Data Source
AI summary
In a radar apparatus, a peak extractor performs frequency analysis on a beat signal to obtain a frequency spectrum for each of first and second detection modes based on the beat signal for a corresponding one of the first and second detection modes. The peak extractor extracts a plurality of first peak-signal components from the frequency spectrum obtained for the first detection mode, and a plurality of second peak-signal components from the frequency spectrum obtained for the second detection mode. A determiner compares each of the plurality of first peak-signal components with a corresponding one of the plurality of second peak-signal components to deter mine whether a noise is included in the beat signal according to a result of the comparison.