Parallel Undersampling of High-Frequency Signals Without Phase Offset Control
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Solution Overview
Problem
Time-interleaved analog-to-digital converters for high-frequency signals face challenges in maintaining phase offset accuracy and signal processing consistency, leading to inaccuracies and high implementation costs, while parallel-operating converters for high data volume transmission also incur significant costs due to the need for precise mixer alignment and carrier signal generation.
Innovation Solution
The method involves using parallel-connected filters with different filter frequency responses for undersampling high-frequency signals, allowing for analog-to-digital conversion with a lower sampling frequency and eliminating the need for complex phase offset control, by mapping spectral components differently onto baseband signal components and using equalization and decoupling to correct distortions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If time-interleaved sampling analog-to-digital converters are used for high-frequency signals, then the sampling rate can meet the Nyquist criterion, but phase offset accuracy and signal processing consistency deteriorate leading to inaccuracies
Solution Approach 1:
The patent divides the high-frequency signal processing into multiple parallel filter channels, each handling a specific frequency band. Instead of using time-interleaved sampling which segments time, this invention segments the frequency spectrum using parallel filters with different frequency responses, allowing each channel to be processed independently without phase offset issues between channels.
Solution Approach 2:
Each parallel filter channel is designed with specific local characteristics (different filter frequency responses) tailored to its assigned frequency band. This allows each channel to be optimized for its specific frequency range, improving measurement precision within each local band while maintaining overall system performance.
2Speed
If time-interleaved sampling analog-to-digital converters are used, then the sampling rate can meet the Nyquist criterion, but implementation cost increases due to compensation or equalization devices
Solution Approach 1:
The patent extracts and eliminates the need for complex compensation or equalization devices by using parallel filters with different frequency responses. Instead of adding compensation mechanisms to fix time-interleaved sampling errors, this invention removes the source of the problem by using frequency-based parallel processing where each channel is naturally decoupled.
Solution Approach 2:
Instead of using time-interleaved sampling and then compensating for the resulting phase offset issues, this invention inverts the approach by using frequency-division parallel processing from the outset. The system processes different frequency bands in parallel through filtering rather than sampling different time segments, fundamentally reversing the problem-solving strategy.
3Productivity
If parallel-operating digital-to-analog converters are used for high data volume transmission, then data rate increases, but implementation cost increases due to mixer alignment and carrier signal generation
Solution Approach 1:
The patent merges the filtering and sampling functions into a unified parallel processing architecture. Instead of separate mixers and carrier signal generators for each parallel channel, the system combines frequency-selective filtering with direct sampling, eliminating redundant components and simplifying the overall structure while maintaining high data rate capability.
Solution Approach 2:
The parallel filter channels serve multiple functions simultaneously: frequency selection, signal conditioning, and direct sampling input. This multi-functionality eliminates the need for separate mixer and carrier generation circuits in each parallel channel, reducing implementation cost while maintaining high productivity.
Data Source
AI summary
A method and apparatus for processing or generating a high-frequency signal using parallel and undersampled baseband signal processing in the frequency domain.