Abstract
Differential barometric altimeter is with good accuracy in positioning system. There is different elevation accuracy with one type sensor under different filtering models. We compare application performance between the variable weighted Kalman filter and the least-squares fitting of data processing in the differential barometric altimetry system. Experiments show that Kalman filtering is more suitable for measuring high dynamic model and least-squares fitting way is more suitable in a static altimeter model.
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