MEMS Gyro in the Context of Inertial Positionning

Demkowicz, J.

doi:10.1109/bgc.geomatics.2017.40

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…In order to illustrate the method, examine the nature of the process, and to finally answer the question of which conditions the method applies to, a simulation of the proposed method was performed. Taking into account the fixed position of the receiver → x r , the exact distances from chosen satellites → x s i were calculated, which were then modified with additive Gaussian noise and then NLoS delay shifts were added randomly [26,27]. The final position can easily be compared with the expected, fixed position of the receiver…”

Section: Algorithm Verification Using Simulationmentioning

confidence: 99%

Non-Least Square GNSS Positioning Algorithm for Densely Urbanized Areas

Demkowicz

2022

Remote Sensing

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The paper introduces an essentially new algorithm for calculating the GNSS position as an alternative to the least-square method. The proposed approach can be widely applied to any positioning method that uses multiple position lines for position calculation and is an example of how using a numerical solution can improve position accuracy without access to historical data. In essence, the method is based on the adaptation of the median filtering method widely used in the field of image processing, while at the same time applying a combinatorial approach and order statistics. The proposed solution makes it possible to improve on and assess the credibility of a single measurement. The article highlights the differences between the proposed and currently used approaches, as well as their advantages and disadvantages. The algorithm has been extensively tested under various environmental and weather conditions. The tests were carried out in typical and also in very demanding conditions, thus taking into account the real application context, i.e., pedestrian and car navigation in densely urbanized areas.

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Section: Algorithm Verification Using Simulationmentioning

confidence: 99%