Honeycomb net distance reconstructing algorithm

Abstract

The present invention provides a cellular network distance reconstruction algorithm, firstly judging the effect of the distance measurement data affected by the NLOS according to the noise variance of the measurement system, and bestowing different weights to the distance measurement data, then processing reconstruction to the real distance by weighing orthogonal polynomial utilizing obtained weights. The invention effectively judges the measurement value affected by the NLOS error in the distance measurement sequence between the base station and the mobile phone, the measurement value is reconstructed by weighing the orthogonal polynomial fitting method according to the content affected by the error. The algorithm of the invention has low dependence on the statistical model of the NLOS error, and evidently improving the precision of the distance estimation, and properly adjusting the weight factor of the distance measurement value sequence according to the different error conditions by changing the coefficient of the noise variance, thereby improving the distance estimation precision of the NLOS environment.

Description

technical field [0001] The invention relates to a cellular network distance measurement error discrimination and distance reconstruction algorithm, which is applied to the distance measurement and estimation between a cellular network base station and a mobile phone user, and is especially suitable for situations where non-direct signal signal (NLOS) errors occur intermittently, and can Further improve the distance estimation accuracy under NLOS propagation conditions. Background technique [0002] The cellular network wireless positioning method mainly measures the signal time of arrival (TOA) / time difference of arrival (TDOA) between the base station and the mobile phone user to be positioned, and converts the signal time of arrival / time difference of arrival measurement value into a distance measurement value, and then uses The network's circular or hyperbolic positioning method determines the location of a mobile handset user. The accuracy of the distance measurement va...

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Problems solved by technology

In this type of method, it is fully considered that the NLOS error exists intermittently in the whole process of distance measurement. However, due to the limited data used for distance reconstruction, and the final average distance estimate of each group is obtained, this method The amount of data contained in the packet is required to be as small as possible to ensure that the distance between the base station and the mobile station changes little. At the same time, because the data points used in the distance estimation are relatively small, there may be cases where the reliability of the reconstruction distance is low.

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