Positioning method based on distance relationship library and received signal intensity

Abstract

The invention belongs to a positioning method by adopting a distance relationship library and received signal intensity. The positioning method comprises the following steps of: establishing a positioning area coordinate system, setting a signal transmitter coordinate, setting each positioning point, determining the coordinate of each positioning point, sequentially determining the distance between each positioning point and each signal transmitter, establishing a distance relationship library, determining a distance relationship between a target to be positioned and each transmitter, performing matching processing and outputting coordinate positioning parameters. The distance relationship library established in a positioning area and a logic relationship series of actually measured signal receiving intensity is matched to realize positioning, the positioning cost spent on a non-parameter positioning method is greatly reduced, and the positioning resolution and precision can be controlled, so that the requirements of different environments and different users are met; and compared with the background technology, according to the method, the positioning is simple and convenient, the data acquisition amount and the positioning cost are greatly reduced, the position efficiency is high, and the positioning accuracy is high (up to 0.2m) so that the method can be used for being beneficial to accurately positioning targets to be measured within a wide range.

Description

technical field [0001] The method belongs to the technical field of wireless signal indoor positioning. In particular, a method for positioning using a distance relation library and the strength of a wireless signal received by a target to be positioned. The method achieves positioning by establishing a distance relationship library in the positioning area and matching the measured signal received strength (RSSI) logical relationship sequence, which can greatly reduce the positioning cost of the non-parametric positioning processing method, and can be controlled by simply adjusting the distance relationship library. Positioning resolution and accuracy. Background technique [0002] With the advent of the Internet of Things era, people's requirements for various logistics information and personnel location information are becoming more and more urgent. Location-based services are widely used in many fields, such as disaster relief, vehicle navigation, item tracking, personn...

AI Technical Summary

Problems solved by technology

[0006] The solution of the present invention is to utilize the distance logical relationship data between all signal transmitters and each setting signal collection point position in turn and the coordinate parameters of the collection point as a basic unit for positioning in the distance relationship database; The distance logical relationship data obtained from the determined signal collection point relative to all signal transmitters and the position coordinate parameters of the corresponding signal collection point are stored in the signal processing chip with signal receiving and transmitting functions on each receiver to form a distance relationship database; The invention uses the distance relational database to replace the manually measured offline RSSI database in the background technology, so as to overcome the problems of huge workload and high positioning cost of offline RSSI data collection and establishment of the database, and at the same time realize large-scale and high-precision positioning

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