Radio Noise Cancellation Dynamic Configuration
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Solution Overview
Problem
Existing noise cancellation processors in radios, when enabled, suppress valuable non-verbal information from background noise, which can be critical in situations where remote personnel may not have time to convey severity or disable the processor, leading to incomplete environmental assessments by dispatchers.
Innovation Solution
A radio system that dynamically configures the noise cancellation processor through data packets received from a remote device, allowing real-time enabling, disabling, or modifying of noise cancellation settings, including microphone configurations and beam forming, to balance noise suppression with the transmission of background information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the noise cancellation processor is enabled to suppress background noise, then spoken information is transmitted more clearly, but non-verbal information from background noise is suppressed and lost
Solution Approach 1:
The audio stream is segmented into processed (noise-cancelled) and unprocessed (raw background) components. The system transmits both versions, allowing the dispatcher to access clear spoken information from the processed stream and background environmental information from the unprocessed stream, thereby resolving the contradiction between clarity and information preservation.
Solution Approach 2:
The system dynamically changes the noise cancellation parameter (enabled/disabled state) based on received commands. Rather than maintaining a fixed state, the noise cancellation processor's operation mode is adjusted in real-time, allowing optimization between clarity and information preservation depending on situational needs.
2Measurement precision
If the noise cancellation processor is statically enabled, then background noise is suppressed continuously, but the remote personnel cannot disable it in time to convey critical situation information
Solution Approach 1:
The system transitions from static noise cancellation configuration to dynamic configuration. The noise cancellation processor's enabled/disabled state is no longer fixed but can be changed in real-time based on external commands received from the dispatcher, allowing the system to adapt to changing situational requirements.
Solution Approach 2:
The system implements a feedback mechanism where the dispatcher receives audio streams and can send commands back to the radio to adjust noise cancellation settings. This closed-loop control allows the dispatcher to respond to situational needs by dynamically adjusting the noise cancellation state based on feedback from the audio environment and situation assessment.
3Measurement precision
If the noise cancellation processor eliminates traffic noise and background sounds, then spoken communication is enhanced, but environmental conditions cannot be assessed by the dispatcher
Solution Approach 1:
The audio information is segmented into two transmission channels: processed audio containing enhanced voice information and unprocessed audio containing raw background environmental sounds. This segmentation allows the dispatcher to separately access clear voice communication and environmental context, resolving the contradiction between voice quality and environmental information availability.
Data Source
AI summary
A radio configured to dynamically control cancellation of undesired signals in an audio stream. The radio includes a noise cancellation processor configured to receive an audio stream from a user and to alter information in the audio stream by filtering out undesired signals in the audio stream. The radio also includes a receiving component configured to receive a data packet from a remote device, to retrieve configuration information from the data packet, and to dynamically apply the configuration information, while the radio is being used by a user, to settings associated with the noise cancellation processor. A dynamically enabled noise cancellation processor suppresses undesired signals associated with a subsequent incoming audio stream provided by the user and transmits at least one of an altered audio stream or an unaltered audio stream to the remote device.