Adaptive LED Signal Decoding via Dynamic Duration Analysis
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Solution Overview
Problem
In wireless optical communication systems, the recognition ratio of optical signals sent by LED lamps is low due to random brightness and dimness duration changes, and system upgrades are complicated to adapt to varying parameters.
Innovation Solution
A method using a block coding mode where data is encoded into electric signal units with varying level durations to represent binary bits, allowing adaptive parameter setting at the receive end to decode signals without the need for system upgrades, by calculating average durations based on signal distribution percentages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the LED lamp brightness and dimness durations are allowed to change randomly within a specific range to adapt to different devices, then the adaptability of the communication system is improved, but the recognition ratio of the optical signal deteriorates
Solution Approach 1:
The patent implements dynamic parameter adjustment at the receiver end by continuously monitoring the actual brightness and dimness durations of received optical signals and automatically adjusting the receiving parameters to match the transmit end characteristics. This dynamic adaptation resolves the contradiction by enabling the system to maintain high recognition ratios across different LED devices without requiring fixed random duration ranges.
Solution Approach 2:
The patent changes the receiving parameters (brightness threshold, duration thresholds) based on the detected optical signal characteristics. By dynamically adjusting these parameters to match the actual LED strobe features, the system maintains high signal recognition ratios while adapting to different devices, resolving the contradiction between adaptability and recognition ratio.
2Adaptability or versatility
If the receiving parameters are widened to adapt to different transmit ends, then the adaptability is improved, but the performance of devices with excellent strobe features deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the receiver continuously monitors the actual brightness and dimness durations of received signals and uses this information to automatically adjust its receiving parameters. This feedback loop ensures that the system maintains optimal performance for each specific device without requiring overly widened parameter ranges that would compromise recognition accuracy.
Solution Approach 2:
The receiving parameters are made dynamic rather than static, automatically adjusting to match the characteristics of each transmit end. This dynamic adaptation allows the system to maintain high performance for devices with excellent strobe features while still being adaptable to other devices, resolving the contradiction between adaptability and performance.
3Reliability
If the receive end parameters are fixed to optimize performance for specific devices, then the signal recognition ratio is improved, but the adaptability to other devices deteriorates
Solution Approach 1:
The patent transforms fixed receiving parameters into dynamic parameters that automatically adapt to different LED devices. By continuously monitoring the actual signal characteristics and adjusting the receiving parameters accordingly, the system maintains high recognition ratios across diverse devices without requiring device-specific configuration.
Solution Approach 2:
The receiving end performs self-adjustment by automatically detecting the transmit end characteristics and configuring its own parameters accordingly. This self-service capability eliminates the need for manual configuration or fixed parameters, enabling the system to maintain high recognition ratios while being universally adaptable to different devices.
4Adaptability or versatility
If the receive end is upgraded to handle parameter changes in optical signals, then the adaptability is improved, but the system complexity and maintenance difficulty increase
Solution Approach 1:
The receiving end implements automatic parameter adjustment through self-service mechanisms, continuously monitoring incoming signals and autonomously configuring its parameters. This eliminates the need for manual upgrades or complex configuration management, allowing the system to handle parameter changes from different devices without increasing maintenance complexity.
Solution Approach 2:
The patent implements automatic parameter adaptation at the receiver end, where the system dynamically adjusts its receiving parameters based on the detected signal characteristics. This parameter change capability is achieved through software-based automatic adjustment rather than hardware upgrades, maintaining system simplicity while improving adaptability.
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 enhances communication efficiency and recognition ratio, enabling adaptive decoding that accommodates parameter changes without requiring receive end upgrades, thus improving reliability and maintaining high performance across different LED lamp strobe features.
Implementation Method 1
Wireless optical communication is a short-distance high-speed wireless optical communications technology that is developed based on a light emitting diode (LED) technology
Implementation Method 2
After a high-speed optical signal that includes digital information undergoes optical-to-electric conversion, information can be obtained
Data Source
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AI summary
The present application relates to a wireless signal decoding method, which is used to decode an electric signal converted from a wireless signal, where the decoding method includes the following steps: recording a duration of each level of the electric signal; calculating an average value of m maximum durations and an average value of n minimum durations, where m and n are positive integers and are determined by referring to a distribution percentage value of first binary bit values and a distribution percentage value of second binary bit values in data respectively; calculating a decision duration according to the first average value and the second average value; comparing the duration of each level with the decision duration, and according to a comparison result, determining a binary bit value represented by the level; and integrating all binary bit values to restore the data represented by the electric signal.