Headset Adapter Auto-Configuration via Maximal Length Sequence
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Solution Overview
Problem
Current telephone headset adapters require manual configuration to match host phone wiring and signal gain settings, leading to complexity and potential errors in signal quality, especially with the introduction of digital signal processing which can cause delayed sidetone issues.
Innovation Solution
The use of a maximal length sequence (MLS) noise as comfort noise to automate the headset adapter installation process, allowing for detection of host phone hookswitch state, configuration of wiring, determination of sidetone gain, and measurement of sidetone path impulse response for adaptive filter initialization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration is used to match host phone wiring and gain settings, then the headset adapter can be customized for specific phone models, but the setup process becomes complex and time-consuming for users
Solution Approach 1:
The system performs self-configuration by automatically detecting host phone characteristics and adjusting wiring and gain settings without user intervention. The controller cycles through switch options and measurements to autonomously determine optimal settings, eliminating the need for manual user configuration while maintaining signal quality.
Solution Approach 2:
The system automatically changes configuration parameters including wiring settings and gain levels based on detected host phone characteristics. The controller adjusts transmit and receive signal gains dynamically to match the specific host phone model, achieving optimal signal quality through automated parameter optimization.
2Reliability
If digital signal processing is introduced to handle sidetone delays, then echo cancellation capability is improved, but the system requires accurate gain settings to prevent convergence failure
Solution Approach 1:
The system performs preliminary gain setting and characterization before echo cancellation operations begin. By pre-configuring transmit and receive gains and characterizing the host phone's sidetone path in advance, the system ensures that echo canceller convergence conditions are met from the start, preventing convergence failure before it occurs.
Solution Approach 2:
The system uses feedback from host phone characterization measurements to automatically adjust gain settings. By measuring the host phone's transmit and receive circuit characteristics and using this feedback to set appropriate gain levels, the system ensures echo canceller convergence without requiring complex manual configuration.
3Ease of operation
If automatic configuration using test tones is implemented, then user setup effort is reduced, but the system may select incorrect settings due to erroneous signal levels from hum and buzz
Solution Approach 1:
The system extracts and removes unwanted noise components including hum and buzz from the signal measurements. By filtering out these erroneous signal components before analysis, the system prevents incorrect configuration selections while maintaining automated user setup benefits.
Solution Approach 2:
The system introduces an intermediary characterization process that mediates between raw test signals and final configuration decisions. By using maximal length sequence signals as intermediaries and processing them through correlation analysis, the system accurately identifies host phone characteristics while ignoring spurious hum and buzz signals.
4Adaptability or versatility
If multiple wiring configuration settings are provided on the adapter, then compatibility with different host phones is improved, but the device complexity increases
Solution Approach 1:
The system uses dynamic switching controlled by a controller to adapt wiring configuration based on detected host phone characteristics. Rather than requiring manual user selection from multiple static options, the controller dynamically configures the switch matrix automatically, maintaining versatility while reducing user-facing complexity.
Data Source
AI summary
Systems and methods for a headset adapter circuit are disclosed. The headset adapter circuit generally includes a maximal length sequence generator circuit coupled to the adapter transmit signal line for injecting a maximal length sequence signal. A maximal length sequence cross-correlator circuit is coupled to the adapter receive signal line for capturing a receive signal sample and convolving the receive signal sample with the maximal length sequence signal to generate a host phone sidetone path impulse response.


