RF (Radio Frequency) fingerprint database establishment method and device

Abstract

The invention discloses an RF (Radio Frequency) fingerprint database establishment method. The method comprises following steps of discretizing a to-be-positioned region into N detection points; generating an N-order discrete Fourier transform matrix F relative to the N detection points; extracting M lines from the matrix FH according to a preset sampling quantity M, thus forming an M-line N-column observing matrix B with a minimum correlation coefficient; generating an M-dimensional signal feature vector y->arrow according to signal features obtained by measuring the M detection points corresponding to the line mark numbers of the extracted lines; restoring according to the observing matrix B and the M-dimensional signal feature vector y->arrow, thus obtaining the N-dimensional signal feature vector r->arrow of all N detection points in the to-be-positioned region; and establishing an RF fingerprint database according to the signal feature vector r->arrow, wherein the database is used for search and comparison when RF fingerprints are positioned. The invention also discloses an RF fingerprint database establishment device. The workload for establishing and updating the RF fingerprint database can be saved; and moreover, the reliability and accuracy of the restoration results are ensured.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to a method and device for constructing an RF fingerprint database. Background technique [0002] In recent years, with the increase in the penetration rate of smart terminals, various mobile terminal applications have also ushered in a blowout development, among which location-based services (Location Based Service, LBS) is an important category, and its application scope covers medical Nursing, logistics management, security, navigation, location-based information delivery, location-based network security, location-based user participation in games, etc. [0003] Traditional wireless terminal positioning mainly relies on Global Positioning System (Global Positioning System, GPS) and wireless base station for positioning. These two methods are based on geometric positioning methods, that is, the position of the terminal is determined by measuring the distance from the anchor node ...

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Problems solved by technology

However, the construction of a complete RSSI matrix depends on the random sampling of geographical locations, which will inevitably bring about the randomness of the correctness of the recovery results. As mentioned above, random sampling can only ensure that the compressed sensing observation matrix satisfies the strict equidistant property with a certain probability , so that the RSSI matrix that satisfies a certain precision can be recovered from fewer observation points by the convex optimization method, and there is also a certain probability that recovery failure will occur. The randomness of this result limits the specific use of this scheme

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