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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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.
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