Adaptive BLOS Communications via Evaporation Duct Modeling
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Solution Overview
Problem
Conventional communication methods in contested littoral and maritime environments, such as satellite-based communications, high frequency data radio, and troposcatter propagation, are limited by high probability of detection, vulnerability, and require specialized equipment, making them unsuitable for reliable beyond-line-of-sight (BLOS) communications over the horizon.
Innovation Solution
A transmitting node in a multi-node communications network that models evaporation duct conditions to select an optimal frequency for BLOS communications, adjusting antenna elements to optimize signal propagation and minimize detection probability, using real-time or predictive climate data to adapt to changing environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If satellite-based communications are used for BLOS transmissions, then transmission range is improved, but probability of detection and vulnerability increase
Solution Approach 1:
The system dynamically changes transmission parameters by selecting optimal frequencies from multiple available bands based on real-time environmental conditions. The frequency selection is adapted according to evaporation duct conditions, sea state, and weather data to achieve BLOS communication while minimizing detection probability through frequency diversity and adaptability
2Device complexity
If conventional communication methods are used in contested environments, then equipment simplicity is improved, but reliability and vulnerability worsen
Solution Approach 1:
The communication system performs self-optimization by automatically modeling evaporation duct conditions, selecting optimal frequencies, and adjusting transmission parameters without external intervention. The system uses onboard sensors and environmental data to autonomously adapt to changing conditions, maintaining reliability while avoiding complex external infrastructure
Solution Approach 2:
The system transitions from static frequency usage to dynamic frequency selection based on real-time environmental conditions. The transmission parameters are continuously adjusted according to modeled evaporation duct conditions, sea state, and weather data, enabling the system to adapt to contested environment changes while maintaining communication reliability
3Device complexity
If fixed frequency transmission is used, then system complexity is reduced, but adaptability to environmental conditions worsens
Solution Approach 1:
The system performs preliminary environmental modeling using climate data, sea state information, and weather forecasts to predict optimal transmission conditions before actual communication occurs. This advance preparation enables the system to pre-select appropriate frequencies and parameters, reducing real-time computational complexity while maintaining high adaptability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable and adaptive BLOS communications over the horizon, reducing vulnerability to enemy detection and maintaining communication links in contested environments where conventional methods fail, by dynamically selecting optimal frequencies and antenna heights based on environmental models.
Implementation Method 1
transmit messages to a receiving (Rx) node beyond visual line of sight (e.g., over the horizon) through an evaporation duct (ED) environment
Data Source
AI summary
A communications node for transmitting and receiving beyond line of sight (BLOS) communications through an evaporation duct (ED) environment proximate to a body of water (e.g., coastal, littoral) models environmental conditions (e.g., duct heights) based on current climate data for the ED environment. Based on the modelled ED conditions, the node generates signal propagation models for each of a set of possible transmitting frequencies (e.g., likely signal loss, transmission range). Based on the most current ED signal propagation model, the node selects the optimal transmission frequency for BLOS communications through the evaporation duct.