Transform Tree for Radar Data Stream Identification
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Solution Overview
Problem
Military radar equipment from different organizations operates with unique protocols, making it difficult for one organization to consume data streams from another, as existing methods are time-intensive and inefficient for determining the correct protocol configuration.
Innovation Solution
A method and system that utilize a transform tree to identify the most efficient sequence of transforms to consume data streams by computing the efficiency of each transform and identifying the most efficient path through the tree, allowing for simultaneous execution of multiple transforms using a multi-threading scheme.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration methods are used to determine protocol compatibility between radar systems, then configuration accuracy can be achieved, but the process becomes time-intensive and inefficient
Solution Approach 1:
The system performs self-identification of the most efficient transform path through automatic efficiency computation and path selection, eliminating the need for manual configuration by radar consumption devices. The transform tree automatically determines the optimal sequence of transforms based on computed efficiency metrics.
Solution Approach 2:
The transform tree is pre-configured with multiple possible transform sequences before runtime. During execution, the system efficiently evaluates pre-defined paths through the transform tree rather than manually determining configuration, enabling rapid adaptation to different radar data stream types.
2Measurement precision
If multiple transforms are executed sequentially to determine data stream characteristics, then accuracy in identifying the correct protocol is improved, but the time required to consume the data stream increases
Solution Approach 1:
The system dynamically evaluates transform efficiency during execution and adapts the transform path selection based on computed efficiency metrics. The transform tree structure allows flexible navigation through multiple possible paths, selecting the most efficient sequence based on real-time efficiency computations rather than fixed sequential execution.
Solution Approach 2:
The protocol identification process is segmented into multiple independent transforms arranged in a tree structure, where each transform evaluates a specific characteristic. This segmentation allows the system to evaluate multiple paths in parallel and select the most efficient sequence, improving both accuracy and speed.
3Adaptability or versatility
If a comprehensive transform tree with multiple possible transforms is used to handle diverse radar protocols, then adaptability to different data stream types is improved, but system complexity increases
Solution Approach 1:
The transform tree serves as a universal structure that handles multiple radar protocols and data stream types through a single unified mechanism. Each transform in the tree is designed to handle specific characteristics, and the tree structure provides a universal framework for evaluating and selecting the appropriate transform sequence for any given radar data stream.
Solution Approach 2:
The transform tree acts as an intermediary layer between diverse radar protocols and the radar consumption device. Rather than requiring the consumption device to directly handle protocol complexity, the transform tree mediates by automatically determining and executing the appropriate sequence of transforms, simplifying the overall system architecture.
Data Source
AI summary
A method for data stream identification includes receiving a data stream from a data source and executing a first transform on the data stream to determine if the data stream comprises a first characteristic associated with the first transform. The first transform is part of a transform tree comprising a plurality of transforms arranged in a hierarchy. The method includes executing one or more additional transforms to determine if the data stream comprises one or more additional characteristics associated with the one or more additional transforms and computing an efficiency level associated with the execution of each transform. The method also includes identifying a path through the transform tree wherein the computed efficiency level of each transform in the path is above a threshold value to determine characteristics of the data stream.


