Sensing System Non-Linear Polynomial Correction for Distance Accuracy
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Solution Overview
Problem
Existing sensing systems face accuracy issues due to background noise from ambient light and imperfections in electromagnetic radiation sampling and conversion, leading to measurement errors in distance calculations.
Innovation Solution
A sensing system that applies a non-linear polynomial function to the electronic signal generated by the detector to correct for background noise and non-linear offsets, improving accuracy by compensating for these imperfections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the detector samples incident electromagnetic radiation and converts it into charge carriers, then the sensing system can perform distance measurements, but background noise from ambient light and imperfections in sampling and conversion reduce measurement accuracy
Solution Approach 1:
The patent applies a non-linear polynomial function to the electronic signal to correct for background noise and non-linear offsets. This transforms the harmful background signal and sampling imperfections into correctable errors through mathematical compensation, thereby improving measurement accuracy without requiring additional hardware filters or complex calibration processes
Solution Approach 2:
The patent changes the parameter of the electronic signal by applying a non-linear polynomial function, which transforms the raw signal into a corrected signal that compensates for non-linear offsets and background noise effects. This parameter transformation enables accurate distance measurements even in the presence of ambient light interference
2Measurement precision
If the detector collects charge carriers in a storage component to produce an electronic signal, then distance information can be obtained, but non-linear charge collection and storage introduce measurement errors
Solution Approach 1:
The patent recognizes that non-linear charge collection and storage inherently occur in the detector, rather than attempting to eliminate this physical phenomenon. Instead, it applies a non-linear polynomial function to correct for these non-linearities, converting the manufacturing limitation into a correctable parameter through mathematical compensation
3Measurement precision
If known sensing systems use complex error-source sensors and extensive calibration processes to improve accuracy, then measurement precision may improve, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent enables the sensing system to self-correct for non-linearities and background noise through the application of a non-linear polynomial function to the electronic signal. This self-service approach eliminates the need for additional error-source sensors or extensive external calibration processes, maintaining high measurement accuracy while simplifying device complexity
Solution Approach 2:
The patent replaces complex mechanical or hardware-based error correction mechanisms (such as additional sensors or calibration apparatus) with a mathematical computation approach. By using a non-linear polynomial function in signal processing, the system achieves accurate correction without requiring complex physical 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
The solution significantly enhances measurement accuracy, particularly at larger distances where the signal-to-noise ratio is low, by effectively mitigating the impact of background noise and non-linear offsets, without requiring complex error-source sensors or extensive calibration processes.
Implementation Method 1
an emitter configured to emit electromagnetic radiation modulated at a known frequency
Implementation Method 2
a detector configured to sample incident electromagnetic radiation at the known frequency and convert the sampled electromagnetic radiation into charge carriers
Implementation Method 3
The detector is configured to collect the charge carriers in a storage component to produce an electronic signal
Implementation Method 4
The sensing system further comprises a processor configured to determine a correction by applying a non-linear polynomial function to the electronic signal
Implementation Method 5
A processor of the known sensing system is used to determine a phase difference between the emitted electromagnetic radiation and the sampled electromagnetic radiation. As the modulation frequency is known, the measured phase difference corresponds to the time-of-flight of the emitted electromagnetic radiation
Data Source
AI summary
A sensing system is disclosed for performing distance measurements. The sensing system may include an emitter configured to emit electromagnetic radiation modulated at a known frequency. The sensing system may further include a detector configured to sample incident electromagnetic radiation at the known frequency, convert the sampled electromagnetic radiation into charge carriers, and collect the charge carriers in a storage component to produce an electronic signal. The sensing system may include a processor configured to determine a correction by applying a non-linear polynomial function to the electronic signal.