A Subcarrier Diversity Precise Ranging and Positioning Method Based on Multicarrier Signals

Abstract

The present invention relates to a subcarrier diversity precise ranging and positioning method based on multi-carrier signals. By modeling different carrier powers separately, and selecting the carrier less affected by the environment in real time to establish diversity, the signal transmission model and carrier power in the diversity are used to achieve precise ranging and positioning. The invention makes full use of the transmission characteristics of multi-carrier signals, selects the sub-carrier signal power and diversity path loss model less affected by environmental factors to measure the distance, and can effectively improve the accuracy and stability of wireless signal distance measurement in indoor environment. Moreover, the present invention can make full use of the existing large-area coverage network, not only can save the deployment cost of the indoor positioning system, without considering the power supply cost and post-maintenance of the base station, but also can provide users with safety, security, safety and security on mobile terminals in various complex environments. Stable, high-precision location services.

Description

technical field [0001] The invention belongs to the field of wireless positioning and navigation, in particular to a sub-carrier diversity precise 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, UWB, etc.) and multi-source sensor positioning. The traditional GNSS positioning technology cannot provide users with high-precision and stable location services in indoor and urban canyon areas due to severe signal attenuation and multipath phenomena. The indoor wireless signal positioning technology based on WIFI, Bluetooth, UWB and other opportunistic signals mainly includes two types: fingerprint positioning and geometric intersection positioning. Among them, the indoor positioning method based on the signal fingerprint requires a lot of preliminary data collection work and regularly updates the finger...

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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