Fusion positioning method for intelligent mobile terminal

Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a fusion positioning method for an intelligent mobile terminal. The method comprises the following steps: based on a PDR-based positioning method, obtaining a PDR positioned location of the target at the current moment k based on a WiFi positioning method; obtaining a fingerprint value Rk of the target at the current moment k; obtaining a fingerprint value Rk according to the fingerprint value Rk; and obtaining a WiFi positioning position of the target at the current moment k, obtaining a positioning position difference value according to the PDR positioning position and the WiFi positioning position, taking the positioning position difference value as input data, and inputting the positioning position difference value into a pre-trained fusion positioning model to obtain an actual position Xa, k of the target at the current moment k. Based on a long-term and short-term memory network algorithm, WIFI fingerprint positioning and a PDR positioning method are fused. A fusion positioning model is constructed, and the obtained fusion positioning model has a good positioning effect and positioning stability.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a fusion positioning method for intelligent mobile terminals. Background technique [0002] In recent years, with the rapid development of technologies such as wireless networks, mobile communications, embedded and microelectronics, and the continuous expansion of application fields, the importance of location information has become increasingly prominent. Accurate and timely location information can not only assist social production and people's life, but also an important foundation for the construction of smart cities. Location based Service (LBS) combined with advanced mobile communication network and mobile intelligent terminal technology has become one of the mobile Internet value-added services with the most market prospect and development potential, which has attracted the attention of telecom operators and service providers. [0003] From a te...

AI Technical Summary

Problems solved by technology

However, the current GPS positioning technology still has the following defects: (1) In dense environments such as indoors and urban areas with densely populated high-rise buildings, satellite signals are easily blocked by various obstacles such as high-rise buildings, resulting in the receiver not being able to capture Satellite signals of sufficient strength; (2) Satellite signals will also reflect when encountering buildings, vehicles and other objects, causing multipath effects, making it difficult for the receiving end to filter out effective information to complete accurate signal measurement and accurate position estimation ; (3) GPS technology has shortcomings such as excessive positioning power consumption, while the energy of mobile portable terminals is limited, resulting in its availability being restricted

However, since this method generally needs to accurately estimate the stepping moment of the terminal, and calculate the step length and orientation information of each step, the above calculation process will bring calculation errors

With the accumulation of time, the accumulation of this error will eventually cause the offset of the estimated navigation position, which will affect the effect of positioning

[0006] For this reason, some studies have begun to integrate WIFI fingerprint positioning and dead reckoning, and calculate the user's location information in real time based on Kalman filtering or particle filtering. The covariance matrix in the filtering equation is estimated, the above method is not universal

Images