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

An indoor positioning and indoor environment technology, which is applied to services, measuring devices, instruments, etc. based on location information, can solve the problems of unguaranteed positioning accuracy and large positioning errors, and achieves reduction of data calculation amount, improvement of efficiency, and accurate location. Effect

Active Publication Date: 2017-08-18
BEIJING INSTITUTE OF TECHNOLOGYGY
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However, when the ranging error becomes larger, the positioning error will al

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

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[0039] The present invention will be described in detail below with reference to the drawings and embodiments.

[0040] The principle of the MLE-PSO indoor positioning algorithm based on RSSI is: According to the attenuation characteristics of wireless sensor signal propagation in the room, establish a mathematical model of the distance between the receiving signal strength (RSSI) of the receiving terminal and the base station and receiving terminal, and use this mathematical model to calculate the distance Calculation. Use maximum likelihood estimation to obtain the initialization and iteration limit range of the subsequent particle swarm optimization algorithm positioning process, use the particle swarm algorithm to update the position and velocity of the particle swarm within the range, and judge the position of each particle. If the particle position exceeds The restricted range is replaced with the original position, and the optimal position of the particle and the global op...

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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...

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Application Information

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IPC IPC(8): H04W4/02H04W64/00G01C21/20
CPCG01C21/206H04W4/023H04W64/006
Inventor 王博赵冲肖烜邓志红
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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