Radar Pulse Deinterleaving via State Machine Library
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurate identification of multiple indeterminate radar emitter sources is challenging due to the complexity of radar pulse patterns generated by multiple sources, which complicates detection and tracking of military targets.
Innovation Solution
A method and system that develop a library of state machines correlated with known radar pulse patterns, using continuous sequences of radar pulse descriptor words to select and operate state machines that mesh with incoming unknown pulse patterns, thereby deinterleaving and classifying radar emitter sources, and incorporating new patterns and machines into the library for continuous updating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple radar emitter sources are present in the radar field, then the radar detection capability is improved, but the complexity of radar pulse patterns increases making identification difficult
Solution Approach 1:
The patent segments the complex radar pulse pattern into individual pulse components and processes them through separate state machine classifiers. Each state machine handles specific pulse patterns from different emitter sources, dividing the overall classification task into manageable segments that can be independently analyzed and identified.
Solution Approach 2:
The patent introduces state machines as intermediary components between the raw radar pulse signals and the final identification output. These state machines act as mediators that process pulse descriptor words, match patterns against known emitter signatures, and facilitate the decomposition of complex mixed signals into identifiable source components.
2Device complexity
If traditional radar pulse classification methods are used, then the system is simpler to implement, but the accuracy of identifying multiple indeterminate radar emitter sources deteriorates
Solution Approach 1:
The patent employs dynamic state machines that can adapt their classification behavior based on the characteristics of incoming radar pulses. The system dynamically selects and switches between different state machines depending on the pulse pattern being analyzed, allowing flexible and accurate identification of multiple emitter types without requiring a completely complex static system architecture.
Solution Approach 2:
The patent changes the parameter representation of radar pulses by converting raw pulse signals into pulse descriptor words that capture key characteristics. This parameter transformation enables more accurate classification by state machines while maintaining manageable system complexity through standardized parameter formats and comparison protocols.
3Measurement precision
If a comprehensive library of state machines is developed to cover all known radar pulse patterns, then the classification accuracy is improved, but the time required for pattern matching and processing increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing radar pulses into standardized pulse descriptor words and pre-organizing the state machine library with known emitter patterns before actual classification occurs. This preliminary preparation enables faster real-time matching during operation, as the system doesn't need to analyze raw pulses from scratch but can directly compare preprocessed descriptors against the prepared library.
Solution Approach 2:
The patent applies partial action by activating only the relevant subset of state machines that match the characteristics of the incoming pulse pattern, rather than running all possible classifiers simultaneously. This selective activation reduces processing time while maintaining high accuracy by focusing computational resources on the most likely emitter types based on initial pulse characteristics.
Data Source
AI summary
A method, a system and a program product for deinterleaving and classifying an incoming unknown radar pulse pattern uses a library of state machines that mesh with a library of known radar pulse patterns of a library of known radar emitter sources. A continuous sequence of radar pulse descriptor words is secured for the incoming unknown radar pulse pattern and a plurality of state machines that may mesh with the continuous sequence of radar pulse descriptor words is selected from the library of state machines. The plurality of state machines that may mesh with the incoming unknown radar pulse pattern is operated upon the incoming unknown radar pulse pattern. Radar emitter sources that correlate with state machines that actually mesh with the incoming unknown radar pulse pattern are designated as radar emitter sources that comprise the incoming unknown radar pulse pattern.