Novel Nonlinear Algorithms for Improving IMU Performance

Novel algorithms for improving the performance of IMU are advanced. These consist of a higher-order nonlinear transfer alignment/calibration filter incorporating sensor uncertainties specified by the IMU manufacturer, de-noising filter algorithm to eliminate the impact of shock and vibration on the IMU navigation solution, and accurate algorithms for propagating the navigation equations. In collaboration with an IMU manufacturer, Optimal Synthesis Inc will develop the sensor model of an tactical-grade IMU and the associated processing algorithms to demonstrate the potential improvements achievable using the research results. An early prototype of the real-time code for algorithm implementation will be developed during the Phase I Option period. Potential embedded processors for implementing the new algorithms will also be identified. Phase II research will produce the implementation of these algorithms in firmware for integration with sensor hardware in the market to create a prototype sensor system. Phase III work will focus on commercializing the technology to the MDA programs, and will pursue applications in other commercial markets. Approved for Public Release | 16-MDA-8917 (15 November 16)