FMCW Distance Sensing With Adaptive Beat-Frequency Sampling
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Solution Overview
Problem
Current distance measurement technologies, such as RADAR sensors, face challenges in accurately measuring close objects due to limited processing capacity and data throughput, which increases the risk of collisions, especially with slowly moving individuals.
Innovation Solution
A distance measuring method and apparatus that adjust the sampling range based on the beat frequency difference between transmission and reception signals, using a frequency-modulated continuous-wave (FMCW) scheme to emit a transmission signal with a changing frequency, allowing for precise distance calculation by varying the sampling range according to the object's proximity, thereby enhancing measurement accuracy without overburdening processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed sampling range is used for all distance measurements, then the processing capacity is simplified, but the measurement precision for close objects deteriorates
Solution Approach 1:
The patent implements a dynamic sampling range adjustment mechanism where the sampling range is automatically modified based on the detected beat frequency. When the beat frequency indicates a close object, the sampling range is reduced to concentrate processing resources and improve measurement precision. This dynamic adaptation resolves the contradiction by making the sampling range flexible rather than fixed, allowing high precision for close objects while maintaining manageable processing loads.
Solution Approach 2:
The patent changes the sampling range parameter according to the beat frequency characteristics. By monitoring the beat frequency and adjusting the sampling range accordingly, the system optimizes measurement precision for different distance scenarios. This parameter adaptation allows the system to maintain high processing capacity while achieving superior measurement precision when needed.
2Measurement precision
If the sampling range is reduced to improve measurement precision for close objects, then the measurement accuracy increases, but the data throughput decreases
Solution Approach 1:
The patent applies local quality by concentrating sampling resources in specific frequency ranges where close objects are detected. Instead of uniformly sampling across the entire frequency spectrum, the system focuses sampling effort on relevant beat frequency regions, thereby improving measurement precision for close objects without proportionally reducing overall data throughput.
Solution Approach 2:
The sampling range is dynamically adjusted based on real-time beat frequency analysis. When close objects are detected, the sampling range is temporarily reduced in those specific frequency regions, while maintaining broader sampling in other regions. This dynamic, selective approach improves precision where needed while preserving overall data throughput.
3Adaptability or versatility
If a fixed processing approach is used, then the system complexity is reduced, but the adaptability to different object distances deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the beat frequency detection results are used to adjust the sampling range for subsequent measurements. This closed-loop approach enables the system to adapt to different object distances automatically, improving versatility while managing complexity through systematic feedback-based control rather than complex multi-mode processing.
Solution Approach 2:
The system performs preliminary beat frequency analysis to determine the appropriate sampling range before conducting the main distance measurement. This preliminary action allows the system to adapt to different distance scenarios in advance, preparing the optimal sampling configuration and thereby improving adaptability while organizing complexity into manageable sequential steps.
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 enables accurate distance measurement to close objects, reducing collision risks by optimizing sampling range adjustments based on beat frequency, thereby improving measurement precision without compromising processing speed or data throughput.
Implementation Method 1
receiving a reception signal from an object, in response to the transmission signal being reflected from the object
Implementation Method 2
sampling a beat frequency indicating a difference between a frequency of the transmission signal and a frequency of the reception signal
Data Source
AI summary
A distance measuring method and apparatus are provided. The distance measuring apparatus emits a transmission signal while changing a frequency over time, receives a reception signal from an object in response to the transmission signal being reflected from the object, samples a beat frequency indicating a difference between a frequency of the transmission signal and a frequency of the reception signal in a sampling range that changes based on the beat frequency, and determines a distance to the object based on the sampling.