Intelligent positioning method based on gps/agps/gpsone and target behavior characteristics

Abstract

The invention discloses an intelligent positioning method based on GPS / AGPS / GPSOne and target behavior characteristics, which solves the problems that the existing positioning technology lacks the ability to distinguish behavior characteristics of crowds, does not have the identification advantage of specific crowd positioning, and the like. Based on the existing electronic map, this intelligent positioning method divides each area into points of interest, sets weights for each level of division according to the behavior characteristics of the target, and then calculates the location of the target within the error range of the positioning. The probability of the point is selected, and the one with the highest probability is selected as the positioning result. The error of the positioning result is small, and the positioning accuracy is far superior to the existing positioning methods.

Description

technical field [0001] The invention relates to a positioning method, in particular to an intelligent positioning method based on GPS / AGPS / GPSOne and target behavior characteristics. Background technique [0002] With the increasing openness of society and the increasing number of floating population, while promoting social development, it also brings hidden dangers of insecurity. The safety of students in primary and secondary schools and kindergartens is becoming more and more serious, and the safety of students of all ages has become the focus of attention of the country, society, schools and parents. At present, the technical means of protecting children and adolescents mainly improve the level of campus security through the construction and application of technical defense facilities such as internal monitoring, anti-theft, and electronic inspections. However, these systems can only protect children in the school environment. Due to the uncertainty of the scope of chil...

AI Technical Summary

Problems solved by technology

The mean filtering algorithm is simple and practical, and the filtering time is short, but it is only suitable for denoising static and low dynamic signals; the median filtering algorithm is suitable for denoising signals with strong dynamics, but when high-frequency noise appears in slowly changing signals When , its denoising effect is not as good as mean filtering; wavelet denoising effect is worse than mean filtering and median filtering, and both static and dynamic signals are applicable, but due to multi-level signal decomposition and reconstruction, it takes a long time, It is difficult to meet the real-time requirements of the system

[0005] So far, compared with the rapid development and popularization of GPS technology, the corresponding positioning technology for the behavior patterns of specific groups of people is relatively lagging behind. positioning requirements

At present, the only solution for children's safety protection uses GPS / AGPS / GPSOne and other technologies for positioning. Although this method has the advantages of simplicity and intuition, it cannot obtain high positioning accuracy and can only determine the location of children. Approximate areas, children or the elderly cannot be accurately positioned based on their behavioral characteristics, and specific groups of people cannot be effectively positioned and safely guarded

Fundamentally speaking, the main reason for these disadvantages is that the current positioning methods based on GPS / AGPS / GPSOne lack the ability to distinguish crowd behavior characteristics, and do not have the identification advantage of specific crowd positioning

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