Waveform Bit Pattern Synchronization for Jitter Measurement
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Solution Overview
Problem
As data rates increase in digital systems, accurately decoding periodic signals becomes challenging due to decreased margins of error in signal level timing and imperfections in data signal quality, particularly in communication systems that rely on pseudo-random binary sequences and require efficient waveform acquisition and processing.
Innovation Solution
A waveform processing system employing coherent sampling techniques, such as coherent interleaved sampling, to identify and synchronize with specified bit patterns within repetitive signals, allowing for precise measurement and display of waveforms, including pattern-dependent jitter analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data rate is increased, then communication capacity is improved, but timing margin of error decreases and signal decoding accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by acquiring multiple periods of the repeating pattern signal before processing, and by pre-converting the acquired waveform to a binary pattern for efficient searching. This allows the system to handle high data rates by having sufficient data available in advance for accurate pattern identification and synchronization.
Solution Approach 2:
The system creates a binary pattern copy from the acquired waveform for searching and comparison operations. This copying process enables efficient pattern matching without repeatedly processing the entire analog waveform, thereby maintaining accuracy at high data rates while reducing processing burden.
2Speed
If sampling rate is increased to capture faster signals, then signal digitization capability is improved, but acquisition memory size requirements increase
Solution Approach 1:
The system extracts only the necessary information by acquiring multiple periods of the repeating pattern signal and then processing only the relevant portions to identify bit patterns. This extraction approach allows high-speed signal digitization while minimizing the amount of data that needs to be stored in acquisition memory.
Solution Approach 2:
The system segments the acquisition process by acquiring multiple periods of the repeating pattern separately, then processing them in stages. This segmentation allows the system to handle high sampling rates by processing data in manageable chunks rather than requiring all data to be stored simultaneously in large memory.
3Measurement precision
If coherent sampling is used to improve waveform acquisition accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system implements a universal approach where the coherent sampling and pattern identification process can be applied to various signal types and applications. The same core process of acquiring multiple periods, converting to binary pattern, and searching for matches serves multiple functions including pattern identification, synchronization, and jitter measurement, thereby managing complexity through multi-functionality.
Data Source
AI summary
A waveform processing system performs operations that may include identifying a location of a specified bit pattern within a coherently sampled repeating pattern input signal. In some examples, multiple periods of a repeating pattern signal are acquired using coherent sampling techniques such as, for example, coherent interleaved sampling (CIS). In such examples, the sampled waveform may be converted to a binary pattern that can be searched to locate a match to a predetermined or user-specified bit pattern. In one illustrative example, the identified location may be used to display the sampled waveform. In another example, the identified location may be used to measure pattern-dependent jitter of the sampled waveform.