Missile Detection System Defective Pixel Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Missile detection systems face inefficiencies due to defective sensor pixels, leading to inaccurate target detection and increased false target acquisition, as current methods like step-staring or tiling rely heavily on pixel accuracy and fail to account for dead, always-on, or noisy pixels.
Innovation Solution
A detection system comprising a sensor array with a translating device and a filter algorithm that scans the field of vision across a scene at a known rate, using a 3×3 filter to compensate for cross-scan drift and inaccuracies, and a computing device for missile guidance, enhancing target detection by improving data fidelity and reducing noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If step-staring or tiling method is used to scan uncertainty volume, then the scanning coverage is improved, but the detection accuracy deteriorates due to defective sensor pixels
Solution Approach 1:
The sensor array is divided into multiple sub-arrays or zones, with defective pixels identified and excluded from specific segments. The data processing system segments the uncertainty volume into multiple regions and assigns different processing strategies to different segments, allowing accurate detection in regions with fewer defective pixels while maintaining overall coverage.
Solution Approach 2:
The system dynamically adjusts detection parameters such as threshold values, integration times, and signal processing filters based on the quality and distribution of sensor pixels in each region. By changing these parameters adaptively, the system compensates for defective pixels and maintains detection accuracy across the entire uncertainty volume.
2Area of stationary object
If uncertainty volume is broadened to ensure thorough search, then the target detection coverage is improved, but the false target acquisition increases
Solution Approach 1:
The system dynamically adjusts the uncertainty volume dimensions and orientation based on real-time detection data, target probability assessments, and sensor performance characteristics. This dynamic adjustment allows the system to maintain broad coverage when targets are likely while reducing coverage in regions with high false alarm rates or poor sensor performance.
Solution Approach 2:
The data processing system continuously monitors detection results, false alarm rates, and sensor performance, then feeds this information back to adjust the uncertainty volume parameters and detection thresholds. This feedback loop enables the system to reduce false target acquisition while maintaining thorough search coverage by adapting to actual detection conditions.
3Object-generated harmful factors
If multiple frames are summed or averaged to remove noise, then the noise reduction is improved, but the effectiveness deteriorates due to dead or always-on pixels
Solution Approach 1:
The system identifies and extracts defective pixels (dead, always-on, or noisy pixels) from the data processing pipeline before performing frame summation or averaging. By removing these problematic pixels from the calculation, the system prevents them from corrupting the noise reduction process while still benefiting from temporal averaging of valid pixels.
Solution Approach 2:
Different processing strategies are applied to different regions of the sensor array based on local pixel quality. Regions with high concentrations of defective pixels use alternative processing methods such as spatial interpolation or exclusion, while regions with high-quality pixels use standard frame averaging, optimizing noise reduction effectiveness across the entire array.
Data Source
AI summary
An exemplary apparatus providing an improved detection system is disclosed as having: a sensor array adapted to detect radiation emanating from a potential target and a missile guidance system for controlling a missile's trajectory. Disclosed features and specifications may be variously controlled, adapted or otherwise optionally modified to improve and/or modify the performance characteristics of the detection system. Exemplary embodiments of the present invention generally provide a detection system for use as, for example, a target detection system for a missile guidance system.


