Influence of suboptimal navigation filter design on lunar landing navigation accuracy

Statistics – Computation

Scientific paper

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Air Navigation, Gravitational Effects, Linear Filters, Lunar Gravitation, Lunar Landing, Mathematical Models, Navigation Aids, Optimization, Computer Techniques, Gravitational Fields, Lunar Exploration, Moon

Scientific paper

Most onboard guidance, navigation, and control computers will be programmed using suboptimal filter design in an effort to reduce software size and computation speed. Reduction in the order of the gravity-field model of the moon is one method that can be used to reduce the number of calculations the onboard filter must perform, thus increasing the speed of computation. A result of that reduction is an increase in navigation error, which in turn directly influences the accuracy of the guidance commands. This paper investigates two prevalent lunar gravity-field models-the Ferrari 79 and the Sagitov model. A brief history of their origins and a comparison of the models are given. Particular emphasis is placed on studying their effect on guidance and navigation accuracy as the order of the onboard navigation filter model is reduced, resulting in a suboptimal filter design.

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