Interleaved Signal Analyzer Filtering for Accurate Trigger Capture
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Solution Overview
Problem
Current signal analyzers perform corrective processes like de-embedding and interleave alignment filtering only in post-processing, leading to false trigger events due to non-ideal effects such as time delay and dispersion, resulting in acquired data that does not accurately represent real trigger events.
Innovation Solution
A signal analyzer with a frontend containing two interleaved digitizers and two interleave alignment filters: a hardware filter for real-time compensation and a software or hardware filter for post-processing fine-compensation, ensuring accurate data acquisition and correction before and after data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If corrective processes (de-embedding and interleave alignment filtering) are performed only in post-processing, then device complexity is reduced, but measurement precision deteriorates due to false trigger events caused by non-ideal effects
Solution Approach 1:
The correction process is divided into two segments: a first interleave alignment filter that performs rough correction in real-time during signal acquisition, and a second interleave alignment filter that performs fine correction in post-processing. This segmentation allows the system to maintain both low complexity during acquisition and high precision in the final result.
Solution Approach 2:
The first interleave alignment filter performs preliminary correction of non-ideal effects (time delay and dispersion) in real-time before the trigger decision is made. This preliminary action ensures that trigger events are detected based on corrected data, eliminating false triggers while maintaining real-time operation.
2Measurement precision
If real-time correction is implemented using a hardware interleave alignment filter, then measurement precision is improved by eliminating false trigger events, but device complexity increases
Solution Approach 1:
The correction functionality is segmented between hardware and software domains. The hardware interleave alignment filter performs essential real-time correction to eliminate false triggers, while the software-based second filter handles fine-tuning in post-processing. This segmentation achieves high precision without requiring complete hardware implementation.
Solution Approach 2:
Different quality levels of correction are applied at different stages: the first filter provides sufficient correction quality for real-time trigger decisions, while the second filter provides enhanced correction quality for final analysis. Each stage uses the appropriate level of complexity for its specific purpose.
3Device complexity
If a single interleave alignment filter is used for both real-time and post-processing, then device complexity is reduced, but measurement precision deteriorates due to inability to perform fine-compensation
Solution Approach 1:
The correction system is segmented into two distinct filters with different functions: the first filter handles real-time correction with constraints on complexity, while the second filter handles post-processing fine-compensation without real-time constraints. This segmentation enables both rough and fine correction to be performed optimally.
Solution Approach 2:
The first interleave alignment filter performs partial correction sufficient for real-time operation, while the second filter performs additional fine-compensation in post-processing. This partial action approach allows the real-time system to remain simple while the final result achieves high precision through the additional correction pass.
Data Source
AI summary
A signal analyzer for analyzing a signal includes a frontend with at least two interleaved digitizers configured to digitize an input signal, thereby generating a digitized input signal. The signal analyzer also includes a first interleave alignment filter established by a hardware interleave alignment filter that is configured to hardware-compensate non-ideal effects of the frontend in the digitized input signal in real-time, thereby generating a hardware-compensated, digitized input signal. Further, the signal analyzer includes an acquisition memory configured to store the hardware-compensated, digitized input signal, thereby acquiring an acquired signal. Moreover, the signal analyzer includes a second interleave alignment filter configured to fine-compensate further non-ideal effects of the frontend in a post-processing of the acquired signal.