Subcarrier diversity precise ranging positioning method based on multi-carrier signal

Abstract

The invention relates to a subcarrier diversity precise ranging positioning method based on a multi-carrier signal. Modeling is carried out on different carrier powers, a diversity is established by selecting carriers which are less affected by the environment in real time, and precise ranging positioning is realized by using a signal transmission model in the diversity and the carrier powers. According to the method, the transmission characteristics of the multi-carrier signals are fully utilized, the subcarrier signal power and diversity path loss model which is slightly influenced by environmental factors is selected for distance measurement, and the precision and stability of wireless signal distance measurement in the indoor environment can be effectively improved. Moreover, an existing large-area coverage network can be fully utilized, the deployment cost of an indoor positioning system can be saved, the power supply cost and later maintenance of a base station do not need to be considered, and safe, stable and high-precision position service on a mobile terminal can be provided for a user in various complex environments.

Description

technical field [0001] The invention belongs to the field of wireless positioning and navigation, in particular to a sub-carrier diversity precision ranging positioning method based on multi-carrier signals. Background technique [0002] The current positioning methods mainly include traditional GNSS positioning, indoor wireless signal positioning (based on WIFI, Bluetooth, ultra-wideband, etc.) and multi-source sensor positioning. Traditional GNSS positioning technology cannot provide users with high-precision and stable location services in indoor and urban canyon areas due to serious signal attenuation and multipath phenomena. Indoor wireless signal positioning technologies based on signals of opportunity such as WIFI, Bluetooth, and UWB mainly include fingerprint positioning and geometric intersection positioning. Among them, the indoor positioning method based on signal fingerprints requires a lot of early data collection work and regular update of fingerprint data, wh...

AI Technical Summary

Problems solved by technology

Among them, the indoor positioning method based on signal fingerprints requires a lot of early data collection work and regular update of fingerprint data, which requires a lot of manpower and material costs.

The geometric intersection indoor positioning method based on signals such as WIFI and Bluetooth is easily affected by the environment and daily human activities. Although it can provide users with high-precision location services in some specific environments, it usually requires the deployment of more base stations to achieve intersection. The limitations of positioning, base station deployment and continuous power supply cost make this method difficult to popularize and promote on a large scale

The positioning technology based on multi-source sensors requires accurate measurement results of various sensors and strict time synchronization, which often means higher cost

At the same time, positioning technology based on multi-source sensors will continue to accumulate positioning errors during use, making it difficult to provide continuous high-precision location services

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