Adaptive Modulation Signal Control for Reliable Light Detection
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Solution Overview
Problem
Existing lighting systems face challenges in achieving high reliability and optimal dimming range when controlling light output from multiple sources, as they are often designed for worst-case scenarios, leading to inefficient use of modulation signals and reduced data rates.
Innovation Solution
A method and system that adjust the modulation signal based on quality measures, such as signal-to-noise ratio and modulation depth, to optimize light output control without adversely affecting light properties, allowing for improved reliability and maintaining a large dimming range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the lighting system is designed for worst-case scenarios to ensure high reliability in detection, then the reliability of detection is improved, but the dimming range and data rate are reduced to an unnecessarily high extent
Solution Approach 1:
The patent applies dynamics by making the modulation signal properties adjustable and adaptive rather than fixed. The system dynamically adjusts modulation depth, frequency, or other signal characteristics based on actual operating conditions and detected quality measures, allowing the lighting system to adapt to different scenarios (near-field vs far-field detection, different numbers of light sources, varying distances) without being constrained by worst-case design limitations.
Solution Approach 2:
The patent implements parameter changes by modifying modulation signal parameters (such as modulation depth, frequency, or other characteristics) based on detected quality measures. The master controller adjusts these parameters recurrently to optimize the balance between detection reliability and light output properties, enabling the system to achieve high reliability without unnecessarily limiting the dimming range.
2Reliability
If the modulation signal power is increased to improve detection quality, then the reliability of detection is improved, but the overall light properties and dimming range are adversely affected
Solution Approach 1:
The patent applies parameter changes by adjusting modulation signal characteristics (depth, frequency, or other properties) rather than simply increasing power. This allows the system to improve detection quality through optimized signal parameters while maintaining appropriate light output properties and dimming range.
Solution Approach 2:
The patent implements feedback by using the detected quality measures to recurrently adjust the modulation signal parameters. The master controller receives feedback about detection quality and automatically modifies the modulation signal to optimize both detection reliability and light properties, creating a closed-loop control system that balances these competing requirements.
3Device complexity
If the system uses fixed modulation signal parameters to simplify control, then the device complexity is reduced, but the performance is degraded for diverse lighting configurations
Solution Approach 1:
The patent applies self-service by enabling the lighting system to automatically adjust its own modulation signal parameters based on detected quality measures. The master controller autonomously monitors detection quality and modifies modulation parameters without requiring external intervention or complex manual configuration, allowing the system to adapt to diverse lighting configurations while maintaining manageable control complexity.
Data Source
AI summary
Disclosed is a method for controlling a light output signal emitted by a set of light sources comprising at least one light source, wherein said light output signal includes a modulation signal which carries individual information, such that the method includes recurrently:remotely detecting the light output signal of said set of light sources;determining at least one quality measure of said remote detection of the light output signal; andadjusting the modulation signal on basis of said at least one quality measure.