Semiotic Digital Encoding Delta Transmission for HF Radio
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Solution Overview
Problem
High Frequency (HF) radio communication systems in A2AD environments face challenges with low data rates, high bit error rates, and susceptibility to signal degradation due to environmental factors and jamming, necessitating a method to minimize data transmission while ensuring secure communication.
Innovation Solution
The implementation of Semiotic Digital Encoding (SDE) algorithm, which reduces data transmission by leveraging the context inherent in structured messages, allowing only delta values to be sent, thereby enhancing bandwidth efficiency and security without compressing or encrypting data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If HF radio communication is used for beyond line-of-sight links, then communication range is improved, but data rate decreases and bit error rate increases
Solution Approach 1:
The patent extracts only the essential changes (delta values) from the complete data structure, transmitting only what has changed rather than the entire data set. This reduces transmission data volume and allows faster, more reliable communication over HF radio while maintaining complete information transfer capability.
Solution Approach 2:
The patent changes the parameter representation from complete absolute values to differential delta values. By encoding only the changes in state between transmissions, the system achieves more efficient use of the limited HF radio bandwidth, improving both data rate and reliability.
2Loss of information
If complete data transmission is used, then information completeness is improved, but bandwidth requirements increase making communication more vulnerable to jamming and degradation
Solution Approach 1:
The system extracts only the changed portions of data (delta values) for transmission, maintaining information completeness for updated elements while eliminating redundant transmission of unchanged data. This significantly reduces bandwidth requirements and vulnerability to jamming.
Solution Approach 2:
Instead of transmitting complete data sets every time, the system transmits only the partial information that has changed since the last transmission. This partial action approach maintains information completeness where needed while minimizing overall bandwidth consumption.
3Quantity of substance
If data compression is applied, then bandwidth efficiency is improved, but data loss may occur reducing communication reliability
Solution Approach 1:
The patent uses lossless extraction of delta values rather than lossy compression. By mathematically encoding only the differences and preserving the ability to reconstruct complete information at the receiver, the system achieves bandwidth efficiency without sacrificing communication reliability.
Solution Approach 2:
The system creates a precise mathematical copy of the data changes (delta values) that can be exactly reconstructed at the receiving end. This copying approach ensures no information loss occurs during compression and decompression cycles.
4Adaptability or versatility
If traditional encoding methods are used, then compatibility with existing systems is improved, but security against interception and decoding by adversaries is worsened
Solution Approach 1:
The patent changes the encoding parameters to use delta differential values instead of traditional complete data encoding. This parameter transformation provides inherent security because intercepted transmissions reveal only changes without context, making adversarial decoding significantly more difficult while maintaining system compatibility through standardized protocols.
Data Source
AI summary
A system and method for lowering probability that low data rates, high bit error rates, and susceptibility to signal degradation in communication environments during storms, solar activity, and adversarial activity is disclosed. The system and method affect communications by minimizing the amount of data/information that needs to be transmitted, partly by creating an algorithmic process/method that moves knowledge and not data and information. The system and method is based upon the realization that structured communications often possess a similar level of context that can be exploited to communicate full meaning (knowledge), even when only a small fraction of the message is transmitted to the receiver. Reducing the number of bytes transmitted significantly reduces the probability that a transmission will be affected by either naturally occurring or human supplied factors present in modern communication environments.