Duality of Optimal Strapdown Sculling and Coning Compensation Algorithms

This paper addresses the design of optimal algorithms for the sculling compensation applied in strapdown inertial systems. A class of optimized algorithms for the sculling compensation is derived and evaluated for three dynamic environments: a pure sculling environment, a benign environment, and a generalized vibrational environment. The resultant class of optimized sculling algorithms is shown to manifest an interesting duality property when compared with a class of optimized coning compensation algorithms previously derived, in both algorithm structure and the algorithm errors incurred in the three dynamic environments considered.