Dynamic Demodulation for Object Sensing in Noisy Environments
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Solution Overview
Problem
Existing object detection systems in noisy environments face challenges in accurately distinguishing between signals from objects and noise, leading to false assessments, and current methods to mitigate noise often compromise detection speed.
Innovation Solution
A dynamic demodulation approach is implemented, where the demodulation count adjusts based on detected noise levels, using a higher count when noise is above a threshold and a lower count when noise is low, to balance detection reliability and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed high demodulation count is used to ensure detection reliability, then false positives are reduced, but detection speed decreases
Solution Approach 1:
The patent applies dynamics by making the demodulation count adjustable rather than fixed. The system dynamically changes the demodulation count based on detected noise levels in the monitored region. When noise is detected above a threshold, the system uses a higher demodulation count to reduce false positives. When noise is below the threshold, the system uses a lower demodulation count to improve detection speed. This dynamic adjustment resolves the contradiction between reliability and speed by adapting the detection parameters to current environmental conditions.
2Speed
If a fixed low demodulation count is used to maintain detection speed, then false negatives increase, but detection reliability decreases
Solution Approach 1:
The patent implements feedback by continuously monitoring noise levels in the monitored region and using this information to adjust the demodulation count. The noise detection mechanism provides real-time feedback about the environmental conditions, allowing the system to adapt the demodulation count accordingly. When noise is detected, the feedback loop triggers an increase in the demodulation count to maintain reliability. When noise is absent, the system reduces the count to maintain speed. This feedback mechanism ensures the system maintains appropriate reliability without sacrificing speed unnecessarily.
3Reliability
If noise detection is performed continuously, then false positives are reduced, but processing time increases
Solution Approach 1:
The patent applies periodic action by implementing noise detection at specific intervals rather than continuously. The system performs noise detection during designated noise measurement time intervals within the repetition time intervals, rather than continuously monitoring. This periodic approach allows the system to reduce false positives through noise awareness while minimizing processing time. The noise detection is synchronized with the signal transmission cycles, ensuring reliability is maintained without excessive processing overhead.
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 method enhances the reliability of object detection while maintaining a high detection rate by dynamically adjusting the redundancy of signal measurements according to noise levels, reducing false positives and negatives.
Implementation Method 1
an optical device has a transmitter that emits pulsed light signals into a monitored region and a sensor that detects signals resulting from the interaction, such as reflection or scattering, between the transmitted light signals and any object located in the region
Implementation Method 2
an optical device has a transmitter that emits pulsed light signals into a monitored region and a sensor that detects signals resulting from the interaction, such as reflection or scattering, between the transmitted light signals and any object located in the region
Data Source
AI summary
An object detection method comprises transmitting a plurality of signals from a transmitter into a region; measuring a plurality of signals, each corresponding to a respective one of the plurality of the transmitted signals, received by a sensor; determining whether each of the plurality of received signals satisfies a condition (such as that a received signal is above a threshold level for indicating that an object is located in the region, or below a threshold level for indicating that an object is not located in the region); determining whether noise of at least a threshold amount is present; and determining whether an object is located within the region depending on whether at least a number of received signals meet the condition, the number being different when noise of at least a threshold amount is determined to be present than not present. For example, the required number of received signals that meet the condition when noise is present can be higher than when noise is absent. A device for detecting object according to the method is also disclosed.