The invention discloses an indoor positioning method of path attenuation coefficient based database construction. The method is divided into a training stage and a positioning stage; the training stage is mainly to obtain a corresponding attenuation coefficient of each reference node in the environment and an average attenuation coefficient of signal propagation in the environment by utilizing the known received signal strength and distance information; the positioning stage is mainly to obtain a distance between a blind node and the corresponding reference node and a distance between the blind nodes by utilizing the corresponding attenuation coefficients of the reference nodes in the environment which are obtained in the training stage, thereby obtaining a relative coordinate position of each blind node. The indoor positioning method is high in positioning precision, simple in implementation, low in system power consumption and low in cost.

Indoor positioning method of path attenuation coefficient based database construction

The invention discloses an indoor positioning method which comprises the following steps: (A1) processing set transmit-receive signal strength between APs according to the mapping relation of terminal signal strength and distance, so as to acquire indoor passage parameters; (A2) selecting the mapping relation according to the received terminal signal strength reported by the APs, and utilizing the selected mapping relation to acquire the distance from a terminal to the APs; (A3) obtaining coordinates of the terminal by utilizing the distance and the coordinates of the APs. The indoor positioning method provided by the invention has the advantages of accurate and simple positioning.

Indoor positioning method

The invention relates to an Indoor floor location method based on an air pressure fingerprint. The method comprises an offline stage and an online stage. The offline stage comprises the steps of collecting air pressure data of different floors in a target indoor location scene before actual floor location is started, and forming an air pressure fingerprint library after the air pressure data is processed. The online state comprises the steps of collecting air pressure data of a to-be-located location on site when the actual floor location is carried out, comparing the air pressure data with air pressure fingerprints in the air pressure fingerprint library, and selecting the floor corresponding to the most matched air pressure fingerprint as a currently located floor. The method has the advantages that according to the method provided by the patent of the invention, through adoption of an existing indoor plane location method, indoor high-precision three-dimensional location can be realized, thereby facilitating development of indoor location applications and service.

Indoor floor location method based on air pressure fingerprint

The invention provides an adaptive seamless switching method of indoor and outdoor positioning. Four state modes of an intelligent terminal according to the coverage and distribution of satellite signals and wireless local area network signals are defined, namely: an indoor working mode, an indoor non-working mode, an outdoor working mode and an aliasing mode. In the initial state mode judgment, the judgment is preferentially performed according to the number of scanned satellites and the satellite signal strength. After the device works normally, conditional state transition can be performedamong various working modes, and the transition condition depends on a combined factor of the number of satellites, the satellite signal strength, the wireless local area network signal strength and the like. By adoption of the method, indoor and outdoor integrated positioning can be effectively achieved, adaptive seamless switching in indoor and outdoor scenes is achieved, and meanwhile the powerconsumption of the intelligent terminal is reduced, so that the adaptive seamless switching method has a wide application scene.

Adaptive seamless switching method of indoor and outdoor positioning

The invention provides a method and apparatus for acquiring a multi-mode positioning fingerprint database. The method includes the steps of S1, dividing a positioning area by using a first granularity to acquire initial grids; and S2, performing, according to a determination result of whether non-cellular access points exist in the initial grids, corresponding processing on the initial grids to obtain second-level grids. The corresponding operation is performed by determining whether the non-cellular access points exist in the grids, the grid division granularity can be dynamically adjusted according to the signal density in an area to be positioned so that the quantization noise of the positioning grids is in proportion to the signal coverage density of the grids, and the multi-mode positioning fingerprint database is high in accuracy and low in cost of operation and maintenance at the same time.

Method and apparatus for acquiring a multi-mode positioning fingerprint database

The invention provides an indoor fingerprint positioning system simulation method based on a Matlab2008, relates to an indoor fingerprint positioning system simulation method, and belongs to the technical field of indoor fingerprint positioning. The indoor fingerprint positioning system simulation method based on the Matlab2008 solves the problems that according to an existing indoor fingerprint positioning system, the workload of a fingerprint map in establishment is high, and the quantity of collected data is large when influences of collection density of the fingerprint map, a positioning algorithm and other factors on the positioning result are verified. The indoor fingerprint positioning system simulation method is achieved on the basis of the Matlab2008 and comprises two parts of content, wherein the first part is related to the establishment of an indoor electromagnetic wave propagation model, and signal intensity of any point indoors can be simulated by means of the indoor electromagnetic wave propagation model; the second part is related to the realization of a positioning method, environment setting, fingerprint map collection, positioning and error statistics are carried out on the basis of the model of the first part, and therefore simulation verification on algorithm performance is achieved. The indoor fingerprint positioning system simulation method based on the Matlab2008 is mainly applied to the indoor fingerprint positioning technology field based on WLAN.

Indoor fingerprint positioning system simulation method based on Matlab2008

The invention discloses a positioning method for indoor and outdoor environment seamless switching realized by global navigation satellite system (GNSS)-based fingerprint positioning technique, relates to the technical field of satellite positioning and navigation, and solves the problem that for the positioning service under the indoor and outdoor environments, seamless positioning switching is difficult to realize under indoor and outdoor environments because a user needs receivers in indoor and outdoor systems at the same time By the positioning method, N GNSS fingerprint positioning nodes are introduced indoors; information frames of the GNSS fingerprint positioning nodes consist of positioning information frames and information frames for location based service (LBS); during positioning, when the positioning is realized by an outdoor positioning way, if the number of visible satellites which participate in the positioning is less than 4, the positioning is switched to an indoor fingerprint positioning way; and when the positioning is realized by the indoor fingerprint positioning way, if that the user leaves the indoor environment is judged, the positioning is carried out in the outdoor positioning way The positioning method is suitable to be used in the field of the satellite positioning and navigation

Positioning method for indoor and outdoor environment seamless switching realized by global navigation satellite system (GNSS)-based fingerprint positioning technique

The invention belongs to the technical field of indoor positioning, and relates to a design method for a heterogeneous fingerprint database used for indoor positioning. The design method is suitable for currently existing multi-system communication systems and mobile terminals integrating multiple sensors. According to the design method, the multi-freedom-degree fingerprint database is built by using the intensity value of signals emitted by indoor WiFi nodes, the intensity value of signals emitted by a NodeB, the intensity value of signals emitted by an ENodeB, the intensity value of signals emitted by an indoor FemtoCell and a pressure value collected by an atmospheric pressure sensor, wherein the intensity values and the pressure value are received by a user terminal at prior positions, and three-dimensional indoor positioning is finished through the built fingerprint database. The heterogeneous fingerprint database respectively includes position information (L Position), WiFi fingerprint information (RWiFi), NodeB fingerprint information (RNodeB), ENodeB fingerprint information (RENodeB), FemtoCell fingerprint information (RFemtoCell) and atmospheric pressure fingerprint information (PAtmospheric).

Zou Deyue

Papers

Indoor fingerprint positioning system simulation method based on Matlab2008

Positioning method for indoor and outdoor environment seamless switching realized by global navigation satellite system (GNSS)-based fingerprint positioning technique

Design method for heterogeneous fingerprint database used for indoor positioning