Cellular network positioning method and cellular network positioning device

Abstract

The invention discloses a cellular network positioning method and a cellular network positioning device. The cellular network positioning method comprises the following steps of: establishing wireless communication connection among a mobile unit to be positioned, a first positioning base station and a second positioning base station; detecting a first time difference from positioning signals emitted by the mobile unit to be positioned to the first positioning base station and a service base station of the mobile unit to be positioned and a second time difference from positioning signals to the second positioning base station and the service base station; performing Kalman filtering on the first time difference and the second time difference to obtain a first estimation value and a second estimation value; and calculating the position coordinate of the mobile unit to be positioned according to the pre-stored position information of the first positioning base station, the second positioning base station and the service base station, the first estimation value and the second estimation value. The cellular network positioning method can eliminate the randomness of NLOS error and the influence of positive deviation by performing Kalman filtering on the first time difference and the second time difference, and improve the cellular network positioning precision.

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a cellular network positioning method and a cellular network positioning device. Background technique [0002] With the development of wireless communication technology, wireless positioning technology has received widespread attention in recent years, and has been widely used in both military and civilian fields. [0003] The positioning process is to obtain certain positioning parameters first, such as: multiple AOA (Angle of Arrival, angle of arrival) or TOA (Time of Arrival, time of arrival) or TDOA (Time Difference of Arrival, radio wave time difference of arrival) or field strength value, by These parameters can form a set of azimuth lines, circles or hyperbolic equations about the position of the mobile unit to be located, and then the position information of the mobile unit to be determined can be obtained by solving these equations. In the existing research results of ...

AI Technical Summary

Problems solved by technology

Since the position of the mobile unit to be located is likely to change continuously, the positioning accuracy of these methods is not high

[0005] NLOS (Non Light of Sight, non-line-of-sight) error is an important factor affecting the positioning accuracy. In traditional positioning algorithms, such as Chan, Fang, Taylor series expansion and other algorithms, the influence of NLOS error is not considered. When the measured value When a large NLOS error is included, the positioning accuracy of these methods will be greatly reduced, and it will not meet the E-911 requirements of the FCC (Federal Communications Commission, US Federal Communications Certification)

The method that can reduce the influence of NLOS errors in the prior art is a positioning method, that is, improving the traditional positioning algorithm to improve its robustness to NLOS, such as the residual weighting algorithm, etc. The results are weighted or traded off to reduce the impact of NLOS. At least 3 base stations are required to participate in positioning, but there must be LOS (Light of Sight, line of sight) base stations to ensure positioning accuracy. Such a requirement is not easy to achieve in practice.

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