Lorenz Butterfly Effect Radar Target Identification
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Solution Overview
Problem
Current Doppler radar systems rely on high bandwidth and expensive facilities to image and identify targets, and struggle to predict catastrophic events initiated by rogue or enemy combatants, as they require complex and costly RCS measurements and lack effective methods to distinguish between friendly and hostile personnel and assets.
Innovation Solution
The extraction and processing of the Lorenz 'Butterfly' effect from single frequency, low bandwidth Doppler audio signals, which contains unique sound patterns indicative of a target's geometry, mass properties, and movement, allowing for the identification of targets and prediction of imminent threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high bandwidth RCS measurements are used to image and identify targets, then target identification accuracy is improved, but system cost and complexity increase
Solution Approach 1:
The patent extracts the Lorenz 'Butterfly' effect pattern from the Doppler audio bandwidth signal, isolating the critical information needed for target identification. This extraction allows the system to achieve accurate target identification without requiring the full complexity of high bandwidth RCS measurements, thereby reducing system cost and complexity while maintaining measurement precision.
Solution Approach 2:
The patent creates a simplified copy of the target's acoustic signature through the Lorenz 'Butterfly' effect pattern in the Doppler audio signal. This copy contains sufficient information for target identification and threat prediction, replacing the need for expensive high bandwidth RCS measurements while maintaining identification accuracy.
2Reliability
If complex RCS measurement facilities are deployed, then catastrophic event prediction capability is improved, but system cost increases
Solution Approach 1:
The patent enables the existing Doppler radar system to predict catastrophic events using its own inherent Doppler audio bandwidth signal and the Lorenz 'Butterfly' effect. The system serves itself by extracting predictive information from signals already being processed, eliminating the need for additional expensive facilities while improving catastrophic event prediction capability.
Solution Approach 2:
The patent changes the parameter being analyzed from full bandwidth RCS measurements to the specific Lorenz 'Butterfly' effect pattern in the Doppler audio bandwidth signal. This parameter change allows catastrophic event prediction using a simpler, lower-cost approach while maintaining or improving prediction reliability through focused analysis of the relevant signal characteristics.
3Device complexity
If single frequency low bandwidth Doppler radar is used, then system cost is reduced, but target identification and threat prediction capability deteriorates
Solution Approach 1:
The patent changes the analysis parameter from requiring high bandwidth to exploiting the Lorenz 'Butterfly' effect in the Doppler audio bandwidth signal. This parameter change allows single frequency low bandwidth Doppler radar to achieve accurate target identification and threat prediction by focusing on the specific pattern characteristics rather than requiring broad frequency coverage.
Solution Approach 2:
The patent creates an accurate acoustic copy of the target's signature through the Lorenz 'Butterfly' effect pattern, which contains sufficient information for identification and prediction. This copy enables low-cost single frequency radar to achieve capabilities previously requiring expensive high bandwidth systems.
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 the identification of radar targets and prediction of catastrophic events with a low-cost, single frequency Doppler radar system, distinguishing between friendly and hostile entities and providing timely countermeasures to obviate threats, thereby enhancing situational awareness and operational effectiveness.
Implementation Method 1
When this transmitted radar signal bounces off an object, referred to as the target, and is returned and detected by the radar's receiver, it has changed in amplitude and if the target is moving in frequency; which is detected by a phase change
Implementation Method 2
Phase is defined as the positive going part of the returned signal starting at a different position in time relative to the transmitted signal and this phase change contains the Doppler frequency shift and further is represented mathematically by a complex number
Data Source
AI summary
Methods, systems, and devices utilizing the audio bandwidth Lorenz “Butterfly” effect to augur catastrophic events to personnel and assets, discriminate friendly from rogue or enemy combatants and their origins using the Lorenz “Butterfly” and further extracting the audio tune from the “Butterfly” and utilizing the information to audio image the target. This imaging technique provides an ultra-low-cost solution to identifying threats and augur their consequences to friendly military forces, civilian police and security forces and further protect large civilian gatherings.