An Adaptive Indoor Fusion Positioning Method Based on Dynamic Environment

Abstract

The invention discloses an adaptive indoor fusion positioning method based on a dynamic environment. First, the positioning point parameter acquisition in the offline stage is performed based on CIR; the parameter acquisition and analysis of the positioning target to be measured is performed based on a 5G positioning base station; secondly, based on the multilateral positioning method and CIR fingerprint positioning method to locate the target to be measured, and analyze the error between the predicted position and the actual position; take the position measured by the multilateral positioning method as the test value, and the position predicted by the CIR fingerprint positioning method as the predicted value. Based on the fusion calculation of the mean square error, the optimal position is estimated; finally, the fusion positioning is based on the adaptation of the indoor environment change. The present invention can perform 5G positioning base station switching and error correction by detecting changes in the room, so that the positioning model can improve prediction accuracy while adapting to environmental changes.

Description

technical field [0001] The invention belongs to the field of indoor positioning and the field of 5G, and specifically relates to an adaptive indoor fusion positioning method based on a dynamic environment. Background technique [0002] With the continuous development of communication technology and Internet technology, many fields are devoted to the location service industry, and high-precision location information is the basis for providing high-quality location services. At present, fields such as smart home, car navigation and mobile phone tracking have become popular research directions of wireless positioning technology. The global navigation satellite system can provide users with high-precision positioning services, which basically meets the needs of users for location-based services in outdoor scenes. However, due to the occlusion of buildings, the GNSS signal attenuates very quickly indoors and cannot be applied accurately. Position indoors. For this reason, the p...

AI Technical Summary

Problems solved by technology

However, most indoor positioning has not analyzed the impact of indoor environment changes on positioning, and the adaptability of the environment is lost. At the same time, the accuracy of a single indoor positioning method is always slightly worse than that of fusion positioning.

[0004] To sum up, most existing indoor positioning technologies cannot correct indoor environment changes and the performance of a single indoor positioning method is worse than fusion positioning.

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