Novel Signal Processing Softwarefor Improving Inertial Measurement Unit Performance

Novel algorithms for improving the performance of IMU without changing the sensor hardware were demonstrated during the Phase I research. These improvements consisted of higher-order nonlinear transfer alignment and calibration filters incorporating detailed models of sensor uncertainties, de-noising algorithms to eliminate the impact of shock and vibration on the IMU navigation solution, and more accurate algorithms for propagating the navigation equations. Using MDA-supplied data, these signal processing algorithms were shown to substantially improve the IMU accuracy of tactical-grade IMU sensors based on metrics such as Circular Error Probable and fixed-interval root mean square navigation errors. Algorithms and software developed under the Phase I research can be used to improve the accuracy of sensor calibration, as well as for transfer alignment of the inertial navigation system during operations. The focus of the present proposed Phase II research is on developing a hardware-software prototype of the signal processing system and evaluating it under realistic operating conditions. Optimal Synthesis Inc is teaming with IMU sensor manufacturers for testing and qualifying the system for military and commercial markets. Commercialization of the technology will be carried out in collaboration with these IMU sensor manufacturers.Approved for Public Release | 18-MDA-9522 (23 Feb 18)