Signal Processor 5B Boundary Calibration for 10BASE-T1S
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Solution Overview
Problem
In the 10BASE-T1S specification, Differential Manchester Encoding (DME) symbols are often corrupted or lost during data transmission due to channel effects and radio frequency interference, leading to 5B boundary detection errors.
Innovation Solution
A signal processing method and processor that includes a signal receiving circuit, a shift register, and a decoder. The signal receiving circuit generates bit codes, which are temporarily stored in the shift register. The decoder performs boundary calibration when the stored bit codes meet specific decoding and boundary detection rules, preventing errors by ensuring accurate detection of 5B boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DME symbols are transmitted through channel with radio frequency interference, then data transmission is achieved, but symbol corruption and loss occur leading to boundary detection errors
Solution Approach 1:
The patent applies preliminary action by performing boundary calibration in advance before actual data transmission. The calibration process establishes reference boundaries under known conditions, creating a baseline for subsequent detection. This preliminary calibration allows the system to compensate for channel effects and RF interference during actual operation, improving boundary detection reliability despite harmful transmission conditions.
Solution Approach 2:
The patent implements feedback through an iterative boundary calibration process. The system transmits calibration data, receives it at the receiver, compares detected boundaries with expected boundaries, and adjusts detection parameters based on the error feedback. This closed-loop feedback mechanism enables the system to adapt to channel effects and RF interference, continuously improving boundary detection accuracy despite transmission impairments.
2Productivity
If 5B boundary detection is performed on corrupted DME symbols, then data decoding is attempted, but detection errors occur due to symbol loss
Solution Approach 1:
The patent performs preliminary boundary calibration using known calibration data before processing actual data. This preliminary action establishes accurate boundary references that are robust against symbol corruption. By calibrating boundaries in advance under controlled conditions, the system creates a reliable baseline that maintains detection precision even when subsequent data symbols are corrupted during transmission.
Solution Approach 2:
The patent applies beforehand cushioning by transmitting redundant calibration data and using iterative refinement processes. The calibration sequence includes multiple reference symbols that provide cushioning against symbol loss - if some symbols are corrupted, the redundant references allow the system to still accurately determine boundaries. This prior cushioning protects the detection precision before actual data transmission begins.
3Measurement precision
If boundary calibration is performed iteratively with feedback, then detection accuracy is improved, but processing time and complexity increase
Solution Approach 1:
The patent applies partial action by performing boundary calibration iteratively only when necessary - specifically, when boundary detection accuracy requires improvement or when channel conditions change. Rather than continuously recalibrating, the system performs calibration at strategic points (initialization and when errors are detected), reducing unnecessary processing time while maintaining adequate accuracy. This selective partial calibration balances precision requirements with time constraints.
Solution Approach 2:
The patent implements periodic action by performing boundary calibration at regular intervals and at specific trigger events rather than continuously. The calibration process is initiated periodically during data transmission and also triggered by detected errors or channel condition changes. This periodic approach maintains boundary detection accuracy through timely recalibration while avoiding the time loss of continuous calibration processing.
Data Source
AI summary
A signal processing method includes the following operations: receiving an input signal and analyzing the input signal to generate a plurality of bit codes by a signal receiving circuit; temporarily storing a first part of the plurality of bit codes according to a time sequence by a shift register and starting a decoder when the shift register is full; and performing a boundary calibration according to the first part of the plurality of bit codes by the decoder when the first part of the plurality of bit codes meets a decoding table rule and a boundary detection rule.