Transceiver Sync Header Alignment Using XOR Boundary Detection
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Solution Overview
Problem
Integrated circuits, such as programmable logic devices, face challenges in accurately detecting boundaries within received data, particularly in aligning sync headers and extended multiblocks, which affects data processing efficiency and alignment.
Innovation Solution
The implementation of algorithms and state machines within the transceiver of programmable logic devices to identify and lock sync headers and determine the end of extended multiblocks, utilizing techniques like XOR logic and threshold-based detection to efficiently process and align data according to the JESD204C standard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional data alignment methods are used in transceivers, then data boundary detection can be performed, but the process consumes excessive time and computational resources
Solution Approach 1:
The patent applies preliminary action by pre-processing received data through XOR operations with expected data patterns before formal boundary detection. This prepares the data in advance by creating a transformed signal where boundaries are more easily identifiable, reducing the computational burden during the actual alignment process.
Solution Approach 2:
The patent segments the data boundary detection process into distinct phases: initial XOR-based pattern matching to identify candidate boundaries, followed by verification steps. This segmentation allows the system to quickly eliminate non-boundary positions and focus computational resources only on promising candidates, significantly improving efficiency.
2Measurement precision
If simple alignment algorithms are used, then processing is faster, but accuracy in detecting data boundaries deteriorates
Solution Approach 1:
The patent introduces an intermediary XOR operation as a mediator between the raw received data and the boundary detection process. This intermediary transformation creates a simplified representation where boundaries manifest as distinctive patterns, enabling accurate detection without requiring complex algorithms. The XOR operation acts as a bridge that preserves boundary information while eliminating noise.
Solution Approach 2:
The patent replaces complex mechanical or iterative boundary search algorithms with a more elegant XOR-based pattern recognition approach. Instead of systematically testing each possible boundary position with resource-intensive methods, the system uses bitwise operations to simultaneously evaluate multiple positions, achieving both accuracy and efficiency.
3Reliability
If resource-intensive alignment methods are employed, then data synchronization improves, but computational resources and power consumption increase
Solution Approach 1:
The patent changes the parameter representation of the data by applying XOR operations, transforming the problem from detecting boundaries in raw binary data to detecting patterns in transformed data. This parameter transformation reveals boundary positions through distinctive XOR results, allowing accurate synchronization with minimal computational effort and power consumption.
Solution Approach 2:
The patent implements self-service by designing the data transmission protocol to include inherent patterns that automatically reveal boundary positions through XOR operations. The transmitted data structure contains embedded synchronization information that performs its own identification function when XORed with expected patterns, eliminating the need for external or resource-intensive alignment mechanisms.
Data Source
AI summary
The present application is directed to an electronic device that has a receiver configured to receive data from a second electronic device and identify potential sync header locations within a portion of the data by performing a mutually exclusive or (XOR) logic operation on a plurality of sequential pairs of bits of the data. Additionally, the receiver is configured to identify sync headers in the data by determining which of the potential sync header locations is shared in subsequent portions of the data.


