Dynamic Filter Chain Reconfiguration for Interference Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Imaging systems face challenges in generating clear images of objects behind barriers due to interference from sources like wireless systems using ultrawideband signals, which degrade image quality.
Innovation Solution
An imaging system with a reconfigurable filter system that dynamically adapts by associating data blocks with processing step lists representing filter chains, allowing for selection and sequencing of filters to suppress interference based on the specific interference present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed filter system is used in the imaging system, then the device complexity is reduced, but the adaptability to suppress different types of interference is insufficient
Solution Approach 1:
The filter system is made dynamic by allowing real-time reconfiguration of filter chains. The processor can dynamically select different filters and adjust their ordering based on the detected interference type, transforming a static system into an adaptive one that responds to changing interference conditions.
Solution Approach 2:
The filter system is segmented into multiple independent filters that can be selectively combined in different sequences. Each filter targets specific interference characteristics, and the system can segment the filtering process into discrete, manageable stages that can be independently configured.
2Reliability
If multiple filters are used in sequence to suppress interference, then the interference suppression capability is improved, but the processing time increases
Solution Approach 1:
The system applies partial filtering action by selecting only the necessary number and type of filters based on the detected interference. Rather than always applying maximum filtering, the system uses excessive action only when needed, adjusting the filter chain length and composition to match the actual interference level and type.
Solution Approach 2:
The system performs preliminary detection of interference characteristics before applying filters. By analyzing the interference type and strength in advance, the system can pre-determine the optimal filter chain configuration, avoiding unnecessary filtering steps and reducing overall processing time.
3Reliability
If the filter order is fixed, then the device complexity is reduced, but the effectiveness of interference suppression varies for different interference types
Solution Approach 1:
The filter chain configuration is made dynamic through processor control. The system can reorder filters and adjust the chain composition based on real-time interference detection, allowing the most effective filter ordering for each specific interference type to be automatically selected.
Solution Approach 2:
The system incorporates feedback mechanisms where the processor monitors the effectiveness of filter chains and adjusts the configuration based on results. This feedback loop enables continuous optimization of filter ordering to maximize suppression effectiveness for different interference types.
Data Source
AI summary
According to one embodiment, an imaging system includes an interface, a plurality of filters, and a processor. The interface receives data blocks. The processor associates each data block with a processing step list that represents a filter chain that has at least a subset of the filters coupled in sequence. The processor filters each data block according to the filter chain represented by the associated processing step list.