Oversampled Channelizer Circuit with Time-Varying Coefficients
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Solution Overview
Problem
Current implementations of oversampled channelizers require increased processing resources and memory, leading to higher semiconductor manufacturing costs and reduced performance due to complex processing procedures.
Innovation Solution
Implementing channelizer circuitry with independent branch circuits that maintain data within each branch circuitry, applying different coefficient sets during processing without reordering or post-correction, thereby reducing complexity and resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If two times oversampled channelizers are implemented by correspondingly increasing the processing and memory resources, then the in-band signal distortion is reduced, but the processing resources and memory resources increase
Solution Approach 1:
The channelizer is divided into multiple independent branch circuitries, each processing a portion of the input signal. This segmentation allows the system to achieve oversampling benefits while distributing the processing load across multiple simpler units rather than requiring a single complex processor with increased resources.
Solution Approach 2:
The patent implements time-varying filter coefficients that change dynamically across different time periods. By using different coefficient sets for different branches and time periods, the system achieves the signal quality improvements of oversampling without requiring permanently increased processing resources, as the same hardware resources are reused dynamically throughout the processing周期.
2Manufacturing precision
If fractionally oversampled channelizers are implemented, then the in-band signal distortion is reduced, but the processing complexity increases due to complex processing procedures
Solution Approach 1:
The complex fractionally oversampled channelizer processing is segmented into multiple independent branch circuitries, each handling a simplified portion of the overall processing. This division reduces the processing complexity within each branch while maintaining the overall fractional oversampling benefit for signal quality.
Solution Approach 2:
The system uses dynamic coefficient switching where different coefficient sets are applied at different time periods. This dynamic approach simplifies the processing procedures within each time period while achieving the complex fractional oversampling effect over the complete processing cycle, thereby reducing overall processing complexity.
3Manufacturing precision
If two times oversampled channelizers are implemented, then the in-band signal distortion is reduced, but the semiconductor manufacturing costs increase
Solution Approach 1:
By segmenting the channelizer into multiple independent branch circuitries, the patent enables the use of standard, cost-effective processing resources rather than requiring expensive custom high-performance processors. This segmentation allows for more economical semiconductor manufacturing while achieving the desired signal quality.
Solution Approach 2:
The dynamic reuse of processing resources through time-varying coefficient application reduces the total amount of hardware needed compared to static oversampling implementations. This dynamic approach lowers semiconductor manufacturing costs by eliminating the need for permanently allocated additional processing and memory resources.
Data Source
AI summary
A signal processing system includes channelizer circuitry that includes first delay circuitry that receives first data. The channelizer circuitry generates first combined data based on the first data and a first coefficient set and second combined data based on the first data and a second coefficient set. The first coefficient set differs from the second coefficient set. Further, the channelizer circuitry outputs a first signal based on at least one of the first combined data and the second combined data.