Micro-scanning Filter Stabilization for Dynamic Imagery
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Solution Overview
Problem
Conventional target identification and classification systems using multispectral or polarization filters face limitations in dynamic environments, requiring complex and costly stabilization mechanisms, especially in high-speed applications like guided munitions, where static imagery is challenging to achieve without excessive weight, power, and volume.
Innovation Solution
The implementation of micro-scanning actuators within the optical objective of an imager, allowing for dynamic movement of filter assemblies with multiple polarization and multispectral states, synchronized with IMU data to null pixel motion and provide stable imagery, enabling efficient target identification in dynamic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If complex stabilization mechanisms are used to achieve stable imagery in dynamic environments, then imagery stability is improved, but weight, power, and volume increase excessively
Solution Approach 1:
The patent divides the stabilization function into two segments: a coarse stabilization system (gimbal) for low-frequency platform motion and a fine stabilization system (micro-scanning actuators) for high-frequency vibration and residual motion. This segmentation allows each subsystem to be optimized for its specific frequency range, reducing the overall complexity and weight compared to a single comprehensive stabilization system.
Solution Approach 2:
The patent implements dynamic filter motion where the filter assembly is actively moved by micro-scanning actuators to track and compensate for platform vibrations and motions. The filter position is continuously adjusted based on real-time motion data from IMU sensors, creating a dynamic stabilization system that adapts to changing environmental conditions rather than relying on passive mechanical stabilization.
2Stability of the object's composition
If complex stabilization mechanisms are used to achieve stable imagery in dynamic environments, then imagery stability is improved, but power consumption increases
Solution Approach 1:
The stabilization system is segmented into passive/active components where the gimbal provides passive coarse stabilization requiring minimal power, while micro-scanning actuators provide active fine stabilization only when needed. This segmentation reduces overall power consumption by avoiding continuous operation of high-power stabilization mechanisms.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting filter position and scanning patterns based on real-time motion characteristics detected by IMU sensors. During periods of low vibration, the micro-scanning actuators reduce their activity, lowering power consumption while maintaining imagery stability when vibrations are detected.
3Stability of the object's composition
If complex stabilization mechanisms are used to achieve stable imagery in dynamic environments, then imagery stability is improved, but device complexity increases
Solution Approach 1:
The filter assembly serves multiple functions: it performs spectral filtering, polarization filtering, and simultaneously acts as a motion compensation element through micro-scanning. The micro-scanning actuators not only position the filter but also actively compensate for platform vibrations. This multi-functionality reduces the need for separate dedicated stabilization components, thereby reducing overall system complexity.
Solution Approach 2:
The patent introduces IMU sensors as intermediary devices that measure platform motion and provide feedback to the control system. This intermediary measurement system enables closed-loop control of the micro-scanning actuators, allowing electronic stabilization that is more compact and less mechanically complex than traditional optical stabilization systems.
4Measurement precision
If static filters are used for target identification, then alignment between filter pixels and detector pixels is optimized, but adaptability to dynamic environments is reduced
Solution Approach 1:
The filter assembly is transformed from a static component to a dynamic one capable of micro-scanning motions. The filter position is continuously adjusted to track platform vibrations and maintain proper alignment with detector pixels despite environmental disturbances. This dynamic positioning capability allows the system to preserve measurement precision while adapting to various dynamic operating conditions.
Solution Approach 2:
The system implements feedback control where IMU sensors continuously monitor platform motion and provide real-time data to the control system. The control system processes this feedback and adjusts the micro-scanning actuators accordingly to maintain optimal filter-to-detector alignment. This closed-loop feedback mechanism enables the system to adapt to changing environmental conditions while preserving alignment precision.
Data Source
AI summary
The system and method for imaging having filter containing polarized elements, multispectral elements or both being oscillated in circular or linear motion so each individual pixel will view a scene thru the individual filters. The motion of the filter is synchronized with a frame rate of an imager. In one example this is accomplished by micro actuators. Each pixel sampling feeds a processor detection algorithm that determines if a multispectral/polarization signature is present in the scene.