Noise-Tolerant Device Synchronization Through Pattern Recognition
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Solution Overview
Problem
Computing devices face synchronization failures and security vulnerabilities due to noise symbols in communication channels, leading to data loss and potential malicious attacks, particularly in IoT devices.
Innovation Solution
Implement synchronization systems with interspersed noise symbols that allow for synchronization despite unknown noise positions, using distance metrics and spread criteria to ensure secure and robust synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exact match synchronization is used, then synchronization precision is improved, but reliability deteriorates due to noise symbols causing failure to synchronize
Solution Approach 1:
The patent applies partial matching instead of requiring exact match. The receiver identifies synchronization symbols by finding a partial match of the synchronization symbol sequence within the received symbol sequence, even when noise symbols are interspersed. This allows synchronization to succeed despite the presence of noise symbols, resolving the contradiction between precision and reliability.
2Object-affected harmful factors
If noise symbols are interspersed in synchronization sequence, then security is improved against eavesdropping, but device complexity increases
Solution Approach 1:
The patent extracts and removes noise symbols from the received symbol sequence during processing. By identifying and excluding symbols that do not match the expected synchronization sequence pattern, the system maintains security benefits of noise insertion while simplifying the matching process. The receiver focuses only on identifying the embedded synchronization sequence rather than processing the entire noisy sequence.
3Loss of information
If full synchronization sequence is transmitted, then data integrity is improved, but loss of information increases due to noise symbols
Solution Approach 1:
The patent uses preliminary correlation analysis to identify the position of synchronization symbols before full data transmission begins. By detecting the synchronization sequence early in the received signal, the receiver can establish proper framing and synchronization state before processing the main data payload, preventing information loss due to misalignment caused by noise symbols.
Data Source
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AI summary
Disclosed in some examples are methods, systems and machine-readable mediums which allow for more secure and robust synchronization by implementing synchronization systems with sequences that may include interspersed noise symbols. These systems, which still synchronize despite one or more noise symbols N in indeterminate positions that are not known by the recipient device during a synchronization attempt reduce the amount of failed synchronization attempts.