Disclosed is an approach to enable radio map download for Global Navigation Satellite System (GNSS)-denied areas. In particular, processor(s) (e.g., of positioning server(s)) could identify GNSS-denied area(s) in an initial radio map, the GNSS-denied area(s) being (i) one or more areas in which at least one GNSS signal is or was unavailable and (ii) a subset of a plurality of areas represented by the initial radio map. Subsequently, the processor(s) could generate a partial radio map representing radio data only for the GNSS-denied area(s) identified in the initial radio map, and could then transmit the partial radio map to a mobile device for storage at the mobile device. In this way, the mobile device could optimize resource usage and perform radio-based position estimations at least in the GNSS-denied area(s) that were identified.

Techniques for providing access point (AP) vicinity information are disclosed. In one example, the techniques include determining a first set of vicinity information corresponding to signal values for an AP at a set of grid points for the coverage area of the AP, encoding the first set of AP vicinity information based at least on a difference between AP vicinity information values for adjacent grid points to generate a second set of AP vicinity information, and providing the second set of AP vicinity information to a device. In one example, the techniques include receiving, for a set of grid points, a first set of AP vicinity information that is compressed based at least on a difference between AP vicinity information values for adjacent grid points, and performing decompression to obtain a second set of AP vicinity information corresponding to signal values for an AP at the set of grid points.

A method, apparatus and computer readable storage medium permit an updated radio map to be determined. In an iteration, the method obtains or holds available current radio map data representing a current radio map for a site and track data of a mobile device. The track data includes sensor data and radio signal observation data representing sets of radio signal observation results captured at different observation positions. The method estimates the observation positions on the track based on the current radio map data and the track data including the sensor data and the radio signal observation data and associates each estimated observation position with a respective set of radio signal observation results represented by the radio signal observation data to determine a sequence of radio fingerprints for the track. The method provides or uses the sequence of radio fingerprints for determining an updated radio map for the site.

A server obtains a first model for a first area and first operational data associated with the first area. The server determines a second model, based on the first operational data and the first model, and obtains a first performance parameter indicative of a performance of the first model. The server obtains a second performance parameter indicative of a performance of the second model and determines a model performance parameter based on the first and second performance parameters. The server determines whether the model performance parameter satisfies a first criterion. The server, when the model performance parameter does not satisfy the first criterion, determines whether the second performance parameter satisfies a second criterion. The server, when the second performance parameter does not satisfy the second criterion, determines a second area that is smaller than the first area; and obtains a third model for the second area.

Systems and methods for indoor tracking via Wi-Fi fingerprinting and electromagnetic fingerprinting are provided and can include a gateway receiver device measuring a RSSI value of a signal transmitted by a Wi-Fi transmitter device, the gateway receiver device measuring an EMF value of an interference in an electromagnetic field created by the gateway receiver device that is caused by the Wi-Fi transmitter device, the gateway receiver device determining whether the RSSI value matches any of a plurality of Wi-Fi fingerprints associated with a monitored region and whether the EMF value matches any of a plurality of electromagnetic fingerprints associated with the monitored region, and responsive thereto, the gateway receiver device identifying that a location of the Wi-Fi transmitter device is within the monitored region.

An apparatus and system are described to provide indoor positioning and movement information using a private next generation (NG) network. A heatmap of pathloss vs distance from a remote radio unit (RRU) is provided from the UE and federated with other heatmaps from different UEs under similar conditions. The federated heatmap is provided to the UE. A private location server containing an AI module is trained using data from the UEs. The location and movement of the UE is determined to a particular pixel based on the heatmap. WiFi reference points (RP) are used if multiple pixels satisfy data of the heatmap.

An indoor target positioning method based on an improved convolutional neural network (CNN) model includes acquiring and preprocessing target camera serial interface (CSI) data of a to-be-positioned target and matching the preprocessed target CSI data with fingerprints in a positioning fingerprint database to obtain coordinate information of the to-be-positioned target. The generation method of the positioning fingerprint database includes: collecting indoor WiFi signals by a software defined radio (SDR) platform to obtain indoor CSI data corresponding to the WiFi signals, and preprocessing the indoor CSI data; partitioning the preprocessed indoor CSI data into a plurality of data subsets through a clustering algorithm; training an improved CNN model by the data subsets to obtain a trained improved CNN model; and generating the positioning fingerprint database by the trained improved CNN model and the preprocessed indoor CSI data.

A sensing system including multiple sensor node devices and an analysis device, wherein: each of the multiple sensor node devices has a sensor that measures a measurement target and acquires data values, a learning unit that, based on the data values, learns a model used to estimate the data values at an installation position of the sensor, and a communication unit that transmits learning result data indicating a learning result from the learning unit; and the analysis device has a spatial analysis unit that estimates a spatial distribution of the data values based on the learning result data from each of the multiple sensor node devices and the installation positions of the respective sensor node devices.

A snap-to-grid situational awareness system that efficiently provides geographic, demographic and topical interest awareness information obtained from the location reporting mobile communication devices. The snap-to-grid feature allows demographic data for situational awareness statistics to be computed, stored and displayed on a snap-to-grid coordinate basis. This innovation greatly improves the functionality of a situational awareness system whole reducing memory and computing resources utilized when providing situational awareness functionality.

A network device stores a radio map comprising map data configured to enable radio-based positioning within a geographic area. The radio map is associated with a plurality of instances of quality information, with each instance of quality information corresponding to a respective location within the geographic area. The network device receives a quality information request corresponding to a geographic region within the geographic area. The quality information request is associated with an entity. Based on a determination of whether a contribution by the entity to a portion of the map data that corresponds to the geographic region satisfies one or more significance criteria, the network device either provides or withholds quality information corresponding to the geographic region.