Wireless Network Simulation for Geolocation Error Robustness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing simulation tools for wireless networked communications systems fail to effectively validate network devices' robustness against geolocation and orientation errors, which are critical in dynamic airborne environments, such as GPS denial or natural sensing errors, leading to suboptimal performance and potential system failures.
Innovation Solution
A method and system that simulate idealized and perturbed geolocation and orientation information within a wireless network environment, allowing network devices to communicate under zero-error and nonzero-error conditions, enabling evaluation of link quality and system robustness without fielding airborne qualified gear, thereby validating configuration-dependent algorithms and developing immunity to errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If idealized zero-error geolocation and orientation information is used in simulation, then the algorithm validation is simplified and baseline performance is established, but the robustness and resilience of network devices against real-world errors cannot be evaluated
Solution Approach 1:
The patent applies preliminary action by first establishing a baseline using idealized zero-error geolocation and orientation information, then subsequently introducing perturbed information with controlled errors. This sequential approach allows the system to first understand perfect operation before testing robustness against errors, effectively preparing the validation framework in advance.
Solution Approach 2:
The patent implements parameter changes by systematically varying the error parameters in geolocation and orientation information. By controlling and adjusting error magnitudes and types in the perturbed information, the system can evaluate how network devices respond to different levels and kinds of errors, thus assessing robustness while maintaining controlled experimental conditions.
2Reliability
If perturbed nonzero-error geolocation and orientation information is introduced to test robustness, then the reliability and resilience of network devices can be evaluated, but the measurement precision and baseline performance comparison are compromised
Solution Approach 1:
The patent applies segmentation by separating the validation process into distinct phases: one using idealized zero-error information for baseline establishment and another using perturbed nonzero-error information for robustness testing. This segmentation allows each phase to serve its specific purpose without compromising the other, enabling both precision measurement and reliability evaluation.
Solution Approach 2:
The patent uses an intermediary approach by introducing controlled perturbations as a mediator between the idealized baseline and real-world error conditions. The perturbed information acts as an intermediate state that allows systematic study of error effects while maintaining traceability to the baseline, enabling quantitative assessment of robustness.
3Reliability
If fielded airborne qualified gear is used for testing, then real-world performance validation is achieved, but the complexity, cost, and accessibility of the testing system increases significantly
Solution Approach 1:
The patent applies copying by creating a virtual simulation environment that replicates airborne network operations without requiring physical airborne qualified gear. By copying the essential characteristics and behaviors of real airborne systems in a software-based simulation, the system achieves real-world performance validation while avoiding the complexity and cost of physical hardware deployment.
Solution Approach 2:
The patent replaces the mechanical/physical testing system (actual airborne equipment) with a computational/software-based system. By substituting physical hardware with virtual simulations and algorithmic models, the system maintains validation effectiveness while dramatically reducing complexity, cost, and accessibility barriers.
Data Source
AI summary
Systems and methods for validating a configuration-dependent algorithm of a network device under test (DUT) within a simulated wireless environment are provided. The method can include transmitting idealized configuration information to a first DUT, including at least one of zero-error geolocation information and zero-error orientation information. The method can include monitoring first data transmissions between the first DUT and a second DUT based on the idealized configuration information. The method can include determining a first link quality based on the first data transmissions. The method can include transmitting perturbed configuration information to the first DUT and determining a second link quality between the first DUT and the second DUT based on the perturbed configuration information. The method can also include evaluating the wireless system based on a comparison of the first link quality and the second link quality.