Parallel Sync Modules for Accurate Data Stream Synchronization
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Solution Overview
Problem
In high-volume data streams, the binary nature of data leads to probable false identifications of SYNC Words, causing modern systems to be slow in accurately synchronizing sub-frames due to potential plural occurrences of expected SYNC Words within sub-frames.
Innovation Solution
A method involving multiple sync modules that search for different expected SYNC Words within a data stream, verifying their identification by looking for subsequent SYNC Words at predetermined offsets, ensuring accurate synchronization by utilizing a field programmable gate array for parallel processing and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single sync module searches for SYNC Words in high-volume data streams, then the system can operate with simpler architecture, but false identifications occur due to probable random occurrences of SYNC Word patterns
Solution Approach 1:
The system divides the synchronization task into multiple independent sync modules, each responsible for searching for specific SYNC Words. This segmentation allows parallel processing while maintaining modular simplicity, reducing false identifications through distributed verification across multiple modules.
Solution Approach 2:
Each sync module verifies its SYNC Word identification by checking for the presence of subsequent SYNC Words at expected offsets. This feedback mechanism confirms correct identification and eliminates false positives, improving reliability without requiring complex centralized control.
2Measurement precision
If multiple sync modules are used to verify SYNC Word identifications, then false positives are reduced and accuracy improves, but system complexity increases
Solution Approach 1:
The system employs multiple sync modules performing the same search function, which is more than the minimum single module needed. This excessive replication provides verification capability that eliminates false positives, with each module independently contributing to the overall detection accuracy.
Solution Approach 2:
The verification process changes the detection parameter from simple pattern matching to offset-based confirmation. By requiring subsequent SYNC Words to appear at predetermined offsets, the system transforms the detection criterion, significantly reducing false identifications.
3Speed
If traditional single-module SYNC Word search is used, then device architecture remains simple, but system reaction time is slow due to potential false identifications
Solution Approach 1:
Multiple sync modules operate continuously and independently, eliminating idle verification time. The parallel continuous operation of multiple modules maintains high speed while the inherent verification process ensures reliability, as false identifications are rapidly eliminated by the distributed search.
Solution Approach 2:
The system performs preliminary verification by checking for subsequent SYNC Words at expected offsets before finalizing synchronization. This preliminary action prevents false identifications from causing delays, as the verification is built into the search process itself rather than being a separate correction step.
Data Source
AI summary
A method of syncing a serial data stream includes the step of providing a data stream having frames and sub-frames. Each sub-frame is provided with an expected SYNC Word, and there is an expected offset between the SYNC Words in each sub-frame. The data is sent to a plurality of sync modules. Each sync module searches for an expected and different one of the SYNC Words. The sync modules identify an expected SYNC Word, then look for a different one of the SYNC Words at said expected offset from its expected SYNC Word to verify that it has properly identified a SYNC Word.