The invention discloses a multi-direction collection combined clustering WiFi
fingerprint indoor positioning method. The method comprises the steps that (1), a
signal collector selects east, west, south and north directions for
signal strength value collection; (2),
signal strength values in the (1) are denoised; (3),
fingerprint data is clustered, indexes are established, and after the final element is screened completely,
signal strength in each location
fingerprint is sorted according to a descending order; and (4), classes which have H maximum values the same as those of to-be-measured point signals are found according to a set of each cluster in the (3), and coordinate locations of the to-be-measured points are computed through adoption of K-nearest neighbor. According to the method,a multi-direction collection method and a denoising clustering method are employed for fingerprint
library production. Compared with a traditional fingerprint positioning method, the method has the advantages that the positioning precision is improved by 15%, the positioning time is reduced by 20%, and the defect that in a traditional WiFi fingerprint positioning process, the
data processing is not reasonable enough, the fingerprint
library reliability is low and the positioning timeliness is low is effectively solved.