Ranging and position localization method based on radio wave field strength RSSI

Abstract

The invention belongs to the technical field of wireless internet, internet of things and mobile communication, and discloses a ranging and position localization method based on the radio wave field strength RSSI; the data value of RSSI is optimized and filtered by using a Gaussian model to reduce the randomness fluctuation of the data itself, and abnormal data samples are eliminated; a RSSI fieldstrength-distance path conversion model used in the distance conversion phase and a dynamic parameter estimation method for the RSSI field strength-distance path conversion model are given; a weighted parameter estimation method is used for performing real-time calibration on the model parameters. The method estimates the dynamic model parameters in the current environment and reduces ranging errors by mutual cooperation between the anchor nodes with known positions before the positioning starts, and has the advantages of simple calculation and easy dynamic correction in the positioning process; the accuracy and stability of wireless ranging and geometric positioning are effectively improved.

Description

technical field [0001] The invention belongs to the technical fields of wireless Internet, Internet of Things and mobile communication, and in particular relates to a distance measurement and position positioning method based on radio wave field strength RSSI. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: In recent years, with the rapid development and advancement of mobile Internet and Internet of Things technologies, indoor wireless positioning technology has attracted more and more attention. Indoor positioning refers to the use of Communication network, wireless positioning and other technologies obtain the location information of the target to be positioned. With the emergence of a large number of various wearable devices, sensor networks, and Internet of Things devices, wireless positioning services have a good hardware foundation; Fixed service bits provide high-speed data communication capabilities....

AI Technical Summary

Problems solved by technology

In particular, the setting of parameters in the existing RSSI field strength-distance path conversion model all adopts fixed empirical values

However, due to changes in the system deployment environment, or dynamic changes in the number and location of personnel in the same environment, parameters will change, such as abnormal RSSI data caused by instantaneous multipath fluctuations in indoor channels and occasional occlusion of transmission paths. If these data still participate in the Subsequent ranging and geometric positioning calculations lead to large ranging and positioning errors

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