Software Advances in Aided Inertial Navigation Systems

Abstract
The basic ideas underlying use of Kalman Filters for data mixing in aided inertial systems are developed in a tutorial manner, including the form of the computational algorithm employed as well as the notation in which it is described. Commonality of data-mixing software among many different applications is stressed, and factors underlying success or failure in a practical sense are reviewed.

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