Jam Assignment Manager Using Decision Tree Task Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic warfare jamming systems fail to optimally allocate system resources to jamming assignments, leading to inefficient use of resources and suboptimal disruption of radar, fire control, and communication systems.
Innovation Solution
A method and system that prioritize and allocate system resources based on task scores and decision tree analysis, assigning higher priority tasks to system resources and optimizing resource allocation across multiple resources to maximize jamming effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If system resources are allocated without priority-based optimization, then resource allocation is simple and quick, but resource utilization efficiency is low and jamming effectiveness is suboptimal
Solution Approach 1:
The patent segments the resource allocation process into distinct components: decision tree construction, task scoring, priority-based assignment, and iterative optimization. Each component handles a specific aspect of the allocation problem, transforming a monolithic complex problem into manageable modular segments that can be processed systematically
Solution Approach 2:
The patent performs preliminary actions by pre-constructing decision trees for each system resource and pre-calculating task scores before actual assignment. This preliminary structuring of data and relationships enables faster, more efficient real-time allocation decisions without repeated complex calculations during execution
2Reliability
If priority-based task assignment is implemented, then jamming effectiveness is improved, but computational complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where task scores are calculated based on performance metrics and fed back into the decision tree structure. This feedback loop allows the system to learn from previous assignments and continuously refine its allocation decisions, improving jamming effectiveness while the structured feedback process prevents computational explosion through systematic information reuse
Solution Approach 2:
The patent creates dynamic allocation structures where decision trees and task scores are not static but adapt based on changing mission requirements and resource availability. This dynamic approach allows the system to optimize for current conditions while maintaining a structured framework that prevents computational complexity from becoming unmanageable
3Productivity
If decision tree population is performed for each system resource, then optimal assignment is achieved, but processing time increases
Solution Approach 1:
The patent merges common computational elements across multiple system resources, such as shared task score calculations and common decision tree structures. By combining redundant computational efforts and reusing calculated values across resources, the system achieves optimal assignments without multiplying processing time by the number of resources
Solution Approach 2:
The patent uses copying of pre-calculated decision tree structures and task score data across multiple system resources. Instead of independently computing everything for each resource, the system creates and utilizes copies of standardized structures, significantly reducing processing time while maintaining optimization quality through the copied frameworks
Data Source
AI summary
A method for allocating system resources includes receiving, by a processor, an assignment list that includes a first assignment and a second assignment, each assignment is assigned a priority and includes tasks associated with each assignment, assigning each assignment to a system resource according to the assigned priority of each assignment, populating a tree for the system resource, the tree including each assignment assigned to the system resource ordered by the relative priority of the assignments, generating task roots associated with each task associated with each assignment in the tree, associating each task root with a task score, defining a first system resource root that includes the task roots having the lowest task scores, calculating a first system resource root score as a function of the task scores of the first system resource root, and saving the first system resource root as the current best estimate system resource root.