Indoor positioning method based on RSSI

Abstract

The invention discloses an indoor positioning method based on RSSI, and belongs to the mobile localization technology filed. The indoor positioning method based on the RSSI includes following steps: arranging three reference nodes, respectively arranging coordinates of the three reference nodes according to the arrangement of the nodes, and opening a switch of the reference nodes so as to enter into a monitoring mode; randomly placing an unknown node to be detected, setting a coordinate of the unknown node, and building a wireless sensing network; measuring value of signal intensity from the positions of the three reference nodes to the unknown node, transmitting the signal intensity value to a base station E which transmits the data value to a PC (personal computer); processing the receiving signal intensity value from the three reference nodes according to a proportion conversion method through the PC, and using the receiving signal intensity value after being proceed to confirm the coordinate position of the unknown node D. The indoor positioning method based on the RSSI has the advantages of saving hardware resources, and being low in time complexity, rapid in calculation method, high in positioning accuracy, low in allocation requirement for space wireless bandwidth resources, high in practical application value, and suitable for indoor environments which can not receive GPS signals.

Description

technical field [0001] The invention belongs to the technical field of mobile positioning, and specifically relates to an indoor positioning method based on RSSI (English full name: Received Signal Strength Indication; Chinese name: Received Signal Strength Indication), especially suitable for target positioning in indoor environments without GPS signals. Background technique [0002] With the rapid increase of data services and multimedia services, people's demand for positioning is increasing, especially in complex indoor environments, such as airport halls, exhibition halls, supermarkets, libraries, underground parking lots, mines and other environments, mobile terminals or The indoor location information of its holder, equipment and objects is particularly important. In an open outdoor environment, the Global Positioning System (GPS) provides very accurate positioning information. However, due to the particularity of the indoor environment, some current algorithms and sy...

AI Technical Summary

Problems solved by technology

Among them, due to the two shortcomings of straight-line line-of-sight propagation and short transmission distance, infrared rays have poor indoor positioning effect, and are easily interfered by fluorescent lamps or lights in the room, so there are limitations in precise positioning; although ultrasonic positioning technology has relatively low overall positioning accuracy High and simple in structure, but ultrasonic waves are greatly affected by multipath effects and non-line-of-sight propagation, and require a lot of hardware facilities, so the cost is too high; Bluetooth technology is easy to find devices when used for indoor short-distance positioning, and Signal transmission is not affected by line-of-sight, but its disadvantages are that it is expensive, less stable in a complex space environment, and greatly interfered by noise signals; ultra-wideband indoor positioning technology is a brand new The new communication technology with great difference can be applied to the positioning tracking and navigation of indoor static or moving objects and people, and can provide very precise positioning accuracy, but the equipment is expensive and cannot be widely promoted; WIFI-based positioning technology can only be applied It is suitable for small-scale indoor positioning, and is easily interfered by other signals, the accuracy is poor, and the energy consumption of the locator is also high; however, radio frequency identification technology has become the preferred indoor positioning due to its advantages of non-contact, non-line-of-sight and low cost. Positioning Technology

For example, although the fingerprint analysis method does not require too much hardware support, the higher the requirement for positioning accuracy, the more data needs to be stored in advance, and the data needs to be stored again when the environment changes, so it requires a large amount of storage space; The positioning technology based on the proximity relationship usually needs the assistance of an identification system to determine each known location with a unique identification. Therefore, these solutions are not universal in terms of cost or wireless resource allocation, and their portability is poor.

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