Acoustic Data Decoder With Multi-Voter Interference Segmentation
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Solution Overview
Problem
Acoustic data communication systems face challenges due to environmental interference such as reverberation, reflections, and noise, which reduce reliable data rates and decoder uncertainty about signal specifications.
Innovation Solution
A method and system for receiving acoustically transmitted data using a plurality of voters, each configured with differing values for acoustic characteristics like reverberation cancellation, timing offset, noise cancellation, and harmonics to address interference, and decoding the signal using consensus and statistical information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If acoustic signal transmission is used for data communication, then wireless short-range communication capability is provided, but environmental interference such as reverberation and reflections reduces reliable data rates
Solution Approach 1:
The decoder is segmented into multiple independent voters, each configured with different acoustic characteristics (reverberation cancellation values, timing offsets, noise cancellation parameters). Each voter independently processes the received signal and casts a vote for the decoded data, allowing the system to segment the decoding task to overcome environmental interference
Solution Approach 2:
The system changes acoustic parameters by configuring each voter with different reverberation cancellation values, timing offsets, and noise cancellation parameters. This parameter diversity allows voters to adapt to different acoustic environments and interference conditions, improving overall decoding reliability
2Adaptability or versatility
If acoustic signal transmission is used for data communication, then novel applications are enabled, but environmental interference increases decoder uncertainty about signal specifications
Solution Approach 1:
The decoding function is divided into multiple specialized voters, each tuned to different acoustic characteristics. This segmentation allows the system to maintain measurement precision by having specialized components handle different aspects of signal interpretation under various acoustic conditions
Solution Approach 2:
The system uses feedback mechanisms where each voter's output is evaluated and the most reliable decoding is selected. The feedback loop allows the decoder to assess signal quality and select the most accurate interpretation based on the voters' consensus, reducing uncertainty about signal specifications
3Adaptability or versatility
If early reflections are present in the acoustic signal, then signal transmission occurs in realistic environments, but it becomes more difficult for the decoder to determine the precise start or end point of signal features
Solution Approach 1:
The system applies parameter changes by configuring voters with different timing offset values that compensate for early reflections. Each voter's timing offset is adjusted to account for reflection delays, allowing the system to maintain precise start and end point determination even in environments with acoustic reflections
Solution Approach 2:
The system applies preliminary anti-action by pre-configuring voters with timing offsets that counteract the expected effect of early reflections. This preliminary compensation allows the decoder to accurately identify signal features despite the presence of reflected signals in the environment
Data Source
AI summary
The present invention relates to a method for receiving data transmitted acoustically. The method includes the steps of receiving an acoustically transmitted signal; and decoding the signal using, at least, a first plurality of voters to extract the data. The first plurality of voters comprise differing values for a first acoustic characteristic to address interference. A system and software are also disclosed.