MLE-PSO indoor positioning method based on RSSI (Received Signal Strength Indication)

Abstract

The invention discloses an MLE-PSO indoor positioning method based on an RSSI (Received Signal Strength Indication). The method comprises the following steps: setting a plurality of base stations in an indoor environment, acquiring an RSSI value of each base station by a receiving terminal, and measuring a distance value between the receiving terminal and each base station; acquiring an estimated position by using maximum likelihood estimation, wherein each base station is corresponding to one estimated position, and determining a limited range by an area in which a plurality of estimated positions are located; initializing each parameter of a particle swarm optimization algorithm, and generating a particle swarm within the limited range at random; and an using the particle swarm optimization algorithm to calculate a global optimal solution of the particle swarm, in the particle swarm optimization algorithm, taking the above limited range as the limit, and selecting the most suitable global optimal solution as the estimated position output. The method of the invention obviously improves the indoor positioning accuracy, and meanwhile guarantees the computation speed of a positioning algorithm, the amount of data collection required for positioning, the number of iterations and other dynamic performances.

Description

technical field [0001] The invention belongs to the technical field of navigation, guidance and control, and in particular relates to an RSSI-based MLE-PSO indoor positioning method. Background technique [0002] In modern society, with the development of information such as communication and network. With the rapid development of technologies such as Global Positioning System (GPS) and Wireless Sensor Networks (WSNs), similar location-aware computing and location-based services (Location Based Services, LBS) are becoming more and more important in real life. more and more important. The emergence of positioning technology has greatly facilitated people's lives, and its influence has extended to all aspects of military, science and technology, and people's ordinary life. The help of indoor positioning to people's daily life has also made it more and more popular in various fields. of favor. For example, information push based on location services in supermarkets helps peo...

AI Technical Summary

Problems solved by technology

However, when the ranging error becomes larger, the positioning error will also become abnormally large, and the positioning accuracy cannot be guaranteed.

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