Dynamic State Detection Threshold for Wireless Devices
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Solution Overview
Problem
Current methods for detecting the state of a device in a wireless communication environment, such as location detection and signal change detection, are inadequate for accurately determining the device's state in various scenarios due to changes in the channel environment.
Innovation Solution
A state detection method that involves obtaining channel metric data, determining channel change degree metric data, setting a state detection threshold based on both channel and environmental metric data using a mapping function, and comparing this threshold with the channel change degree metric data to determine the device's state, utilizing RSSI and CSI data for channel metrics and environmental data for scenario-specific adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple filtering operations and fixed thresholds are used for signal change detection, then the detection process is simple and fast, but the detection accuracy is insufficient in different scenarios
Solution Approach 1:
The patent applies dynamics by transforming the fixed threshold into a dynamic threshold that adapts to different scenarios. The threshold is no longer static but changes based on environmental characteristics and channel conditions, allowing the detection system to maintain simplicity while improving accuracy across diverse scenarios.
Solution Approach 2:
The patent changes the parameter of the detection threshold from a fixed value to a variable that depends on environmental metrics and channel characteristics. By introducing scenario-specific parameters and adjusting the threshold based on these parameters, the system achieves higher detection accuracy without significantly increasing operational complexity.
2Device complexity
If location detection algorithms are used to predict device motion state, then the detection can be performed without additional hardware, but the detection accuracy varies in different scenarios
Solution Approach 1:
The patent changes the approach by introducing scenario-specific parameters and environmental metrics into the detection process. Instead of using a single algorithm for all scenarios, the system adjusts detection parameters based on the specific scenario, improving accuracy while maintaining reasonable system complexity.
Solution Approach 2:
The patent segments the detection process by dividing it into scenario-specific detection modules. Each scenario has its own optimized detection approach and threshold parameters, allowing the system to achieve high accuracy in each specific scenario while keeping the overall system complexity manageable through modular design.
3Ease of manufacture
If fixed thresholds are used for state detection, then the detection method is simple to implement, but it cannot adapt to channel environment changes
Solution Approach 1:
The patent transforms the static fixed threshold into a dynamic threshold that adapts to channel environment changes. The threshold is calculated based on environmental metrics and channel characteristics, enabling the simple detection method to become adaptable to different channel conditions while maintaining ease of implementation.
Solution Approach 2:
The detection system performs self-adjustment by automatically calculating the threshold based on environmental metrics and channel conditions. The system serves itself by adapting to channel changes without requiring manual reconfiguration, maintaining implementation simplicity while achieving environmental adaptability.
Data Source
AI summary
The present disclosure discloses a state detection method and apparatus, a terminal, and a storage medium. The method includes: obtaining channel metric data of a device in a target scenario; determining channel change degree metric data based on the channel metric data; determining, based on the channel change degree metric data and environmental metric data, a state detection threshold corresponding to the target scenario; and detecting a target state of the device in the target scenario according to the state detection threshold and the channel change degree metric data.