Parallel Digital Filtering in Data Sensing Circuits for Precise Signals
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Solution Overview
Problem
Current data communication systems face challenges in efficiently processing and interpreting signals from a variety of sensors across different applications, including industrial, healthcare, and home automation, due to limitations in sensor circuit design and data processing capabilities.
Innovation Solution
The development of a communication system that incorporates a plurality of computing devices, drive-sense circuits, sensors, and actuators, where drive-sense circuits provide power and detect changes in sensor signals, enabling efficient data processing and actuation through a unified communication framework.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If narrow bandpass digital filtering is applied to process sensor signals, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the digital filter processing into multiple parallel channels, each handling a specific frequency band. The sensor signal is split into multiple parallel digital filter processing channels, where each channel processes a different frequency component independently, reducing the complexity of individual filter operations while maintaining overall filtering precision.
Solution Approach 2:
The patent transitions from sequential single-channel filtering to parallel multi-channel processing, adding a spatial dimension to the filtering operation. By processing multiple frequency bands simultaneously in parallel rather than sequentially, the system achieves high-precision narrow bandpass filtering without proportionally increasing computational complexity.
2Productivity
If multiple sensor channels are processed sequentially, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The patent segments the signal processing task into multiple independent parallel channels, each handling a specific sensor input or frequency band. This segmentation allows simultaneous processing of multiple channels without requiring complex inter-channel coordination, thereby increasing throughput while keeping individual channel complexity manageable.
Solution Approach 2:
The patent merges multiple parallel digital filter processing channels into a unified output structure, combining the results from each channel efficiently. This merging approach enables high-speed parallel processing while maintaining a relatively simple overall system architecture, as the parallel channels can be implemented using standardized processing blocks.
3Productivity
If parallel digital filter processing is implemented, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic sampling and processing in the parallel channels, where each channel processes signals at optimized intervals rather than continuously. This periodic operation reduces the average power consumption of the parallel processing system while maintaining high throughput for concurrent sensing applications.
Solution Approach 2:
The patent employs discarding and recovering techniques in the parallel filter processing, where intermediate results from certain channels can be discarded when not needed, or recovered and reused in subsequent processing stages. This reduces redundant computations and lowers overall energy consumption while maintaining processing productivity.
Data Source
AI summary
A data sensing circuit includes one or more drive sense circuits operably coupled to a plurality of data sources. The one or more drive sense circuits produces a plurality of digital sense signals regarding the plurality of data sources at an oversampling rate. The data sensing circuit further includes a digital filtering circuit operably coupled to receive, in parallel, at least some of the plurality of digital sense signals and generate, in a serial manner, a plurality of affect values from the least some of the plurality of digital sense signals.