Base station positioning data stability filtering algorithm and system

Abstract

The invention discloses a base station positioning data stability filtering algorithm and system. The system comprises a GPRS module, a base station database module and a management module. The GPRS module is wirelessly connected with a base station, the base station database module and the management module. The GPRS module acquires basic information of the base station from the base station andtransmits the basic information of the base station to the base station database and acquires latitude and longitude information from the base station database according to the basic information and transmits the latitude and longitude information to the management module. The management module uses median arithmetic mean filtering arithmetic on the latitude and longitude information acquired formultiple times so as to obtain the latitude and longitude. The latitude and longitude information returned for multiple times is stored, then the maximum value and the minimum value of multiple timesof values are eliminated by the filtering algorithm and then averaging is performed and the result is used so that the positioning accuracy and stability can be enhanced to the greatest extent.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to a base station positioning data stabilization filtering algorithm and system. Background technique [0002] When satellite positioning cannot be used in an indoor environment, indoor positioning technology is used as an auxiliary positioning of satellite positioning to solve the problem that satellite signals are weak when they reach the ground and cannot penetrate buildings. Among them, base station positioning is commonly used. The general principle of base station positioning is: the mobile phone measures the downlink pilot signals of different base stations, and obtains the TOA (Time of Arrival, time of arrival) or TDOA (Time Difference of Arrival, arrival time) of the downlink pilot signals of different base stations. Time difference), according to the measurement result and the coordinates of the base station, the position of the mobile phone can be calculated by generally...

AI Technical Summary

Problems solved by technology

The actual position estimation algorithm needs to consider the positioning of multiple base stations (3 or more), so the algorithm is much more complicated

Generally speaking, the more the number of base stations measured by the mobile station, the higher the measurement accuracy and the more obvious the improvement of positioning performance; but the accuracy depends largely on the distribution of base stations and the size of the coverage area, and sometimes the error will exceed one kilometer; that is, positioning It is determined by the situation of the base station, so the position of each positioning is different;

[0003] At present, the GPRS module usually obtains the latitude and longitude directly from the base station. In this case, the GPRS module generally only exchanges data with one base station; when the signal of the connected base station is low, the module will automatically disconnect from the current base station and reconnect to a With the new base station, the data used for positioning will change, and the latitude and longitude will also change accordingly, and the dispersion is very large

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