Displacement Estimation Algorithm Consistency Check
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Solution Overview
Problem
Conventional bumping algorithms for displacement estimation are prone to errors due to external light intensity variations, noise, and optical device component inaccuracies, leading to inconsistent signal detection and phase differences, which affect the precision of displacement calculation.
Innovation Solution
An improved bumping algorithm incorporating consistency checks, period prediction and compensation, and adaptive threshold updates to filter and enhance signals, ensuring accurate state changes and displacement calculations, including signal enhancement through filtering and error displacement correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional bumping algorithm is used for displacement estimation, then the device structure remains simple, but measurement precision deteriorates due to external light intensity variations, noise, and optical component errors
Solution Approach 1:
The patent performs preliminary actions by predicting the signal period and pre-calculating expected transition points before actual signal analysis. The algorithm uses historical signal data to establish prediction models that guide subsequent measurements, allowing the system to compensate for expected variations due to light intensity changes and noise before they affect measurement accuracy.
Solution Approach 2:
The patent implements feedback mechanisms where the measured signal transitions are continuously compared against predicted values. When deviations occur due to external light variations or noise, the system adjusts its threshold and prediction models based on the feedback from actual measurements, thereby maintaining measurement precision despite changing environmental conditions.
2Reliability
If bumping threshold is set to filter noises, then reliability improves by preventing false state changes, but measurement precision deteriorates due to delayed state change detection
Solution Approach 1:
The patent predicts signal period and transition points in advance, allowing the system to anticipate when state changes should occur. This preliminary action enables the algorithm to distinguish between genuine signal transitions and noise-induced variations, maintaining both reliability and precision by knowing when to expect valid state changes.
Solution Approach 2:
The patent dynamically adjusts the bumping threshold based on predicted signal characteristics and actual measurements. Rather than using a fixed threshold, the system adapts the threshold level according to the predicted period and observed signal behavior, ensuring that noise filtering remains effective while avoiding delayed detection of genuine state changes.
Data Source
AI summary
A displacement estimation method is disclosed which includes: a signal capturing step for capturing a signal; a displacement estimation step for calculating a displacement based on a state change of the signal; and an output step for outputting the displacement, in which the displacement estimation step includes one or more of the steps of (A) consistency check to determine whether the state change of the signal is consistent with the waveform of the signal; (B) period prediction and compensation to count in the present period according to a proportional length of a previous period; and (C) adaptive threshold update to adjust the definition of the state change corresponding to the amplitude of the signal.