Predictive Symbol Energy Adjustment for Inductive Data Links
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Solution Overview
Problem
Implantable hearing prostheses face intersymbol interference due to band-pass filtering and resonant effects in inductive coupling, leading to data integrity issues and energy inefficiency in wireless data transmission.
Innovation Solution
A method and apparatus that analyze a data stream window containing past, present, and future data symbols to adjust the energy content of data symbols for improved transmission integrity, using a look-up table to determine optimal energy settings based on transmission characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If inductive coupling with resonant circuits is used for wireless transmission, then energy transmission efficiency is improved, but intersymbol interference occurs due to band-pass filtering effects
Solution Approach 1:
The transmitter analyzes a window of future data symbols before transmission and pre-adjusts the energy content of each symbol based on predicted intersymbol interference from neighboring symbols. This preliminary action prevents ISI from corrupting data integrity while maintaining efficient energy transmission through resonant coupling.
Solution Approach 2:
The system dynamically changes the energy parameter of transmitted data symbols based on the local data pattern. By adjusting symbol energy levels according to predicted interference conditions, the system resolves the contradiction between maintaining high energy efficiency and preventing information loss from intersymbol interference.
2Reliability
If energy content of data symbols is increased to overcome transmission losses, then data integrity improves, but energy transmission efficiency decreases
Solution Approach 1:
Instead of uniformly increasing energy for all symbols, the system applies localized energy adjustments only to specific symbols that are predicted to experience significant intersymbol interference. This local quality approach maintains data integrity where needed while preserving overall energy transmission efficiency.
Solution Approach 2:
The system applies partial energy adjustment only to the extent necessary to overcome predicted intersymbol interference, rather than applying excessive energy to all symbols. This partial action achieves sufficient data integrity while minimizing energy loss.
3Loss of information
If predictive transmission adjustment is implemented to reduce intersymbol interference, then data integrity improves, but device complexity increases
Solution Approach 1:
The system uses feedback from analyzing the data pattern window to dynamically adjust transmission energy levels. This feedback mechanism enables predictive compensation for intersymbol interference while keeping the control logic systematic and manageable through algorithmic processing.
Solution Approach 2:
A look-up table serves as an intermediary that stores pre-calculated optimal energy settings for different data patterns. This intermediary simplifies the transmission control complexity by replacing complex real-time calculations with efficient table lookups, maintaining data integrity while reducing processing burden.
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 data integrity and maintains high energy efficiency, allowing correct data recovery and efficient power transmission without requiring additional hardware or computational intensity.
Implementation Method 1
The transmitter coil inductively couples to the implanted receiving coil so that both data and energy are transmitted into the implanted device
Implementation Method 2
Due to band-pass limitations and the resonant nature of the transmission path, an effect occurs, generally known as intersymbol interference (ISI)
Data Source
AI summary
The present disclosure provides a method wherein preceding and succeeding data elements of a data element to be sent next are analyzed in order to set a signal pattern which can be correctly recovered on the receiving side in spite of intersymbol interference. More particularly, depending on the transmission characteristics of the transmission path, the content of a window within the data stream to be sent wirelessly is examined in order to determine an energy content with which a data symbol has to be sent so that the data can be recovered securely.