Integrated Data Registration for Sensor Alignment
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Solution Overview
Problem
Current systems face challenges in accurately estimating and removing bias errors associated with time, sensor, and navigation errors in data registration, particularly in military and aerospace applications, where precise alignment of sensor data is crucial for effective operation.
Innovation Solution
A system and method for integrated data registration that utilizes a host system, multiple sensors, and navigation data sources, employing algorithms and a Kalman filter to estimate and correct bias errors, including time registration, navigation registration, and sensor registration errors, using a combination of Inertial Navigation System (INS), Global Positioning System (GPS), and Link-16 data, to achieve accurate data alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sensor aperture is not precisely collocated and aligned with navigation system, then system complexity is reduced, but measurement precision deteriorates due to additional biases
Solution Approach 1:
The patent introduces an intermediary processing system that includes a bias estimation module and a data registration module. This intermediary system processes the relationship between sensor aperture and navigation system, estimating and correcting the biases that arise from their non-coincident locations and orientations, thereby maintaining measurement precision without requiring precise physical alignment
Solution Approach 2:
The patent changes the parameters of the sensor system by introducing bias estimation parameters (such as offset distances and orientation angles) that can be dynamically adjusted. By estimating these parameters through processing multiple measurements and comparing sensor data with navigation system data, the system compensates for misalignment without requiring precise physical collocation
2Measurement precision
If bias errors are estimated and removed, then data registration accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary bias estimation by processing a plurality of measurements before final data registration. The bias estimation module pre-calculates the biases using initial sets of measurements, and these pre-estimated biases are then applied to correct subsequent measurements, reducing the processing time for real-time data registration
Solution Approach 2:
The patent implements continuous bias estimation and correction by continuously processing incoming measurements from multiple sensors and navigation systems. The system maintains continuous updates of bias parameters, ensuring that data registration accuracy is maintained over time without requiring repeated full recalibration processes
Data Source
AI summary
A system and method for integrated data registration includes at least one host system and a first sensor where the first sensor provides a first input data. The system and method may further include a second sensor where the second sensor provides a second input data, a first navigation data source where the first navigation data source provides a third input data and a second navigation data source where the second navigation data source provides a fourth input data. The system and method may further include at least one non-transitory computer readable storage medium, in operative communication with the host system, first sensor, the second sensor, the first navigation source and the second navigation source, having at least one set of instructions encoded thereon that, when executed by at least one processor, performs operations to perform integrated data registration.