The embodiments of the present application provide an indoor positioning system, including an information source module, a gateway, a first leaky cable and a first positioning device; where the information source module is connected to a first end of the first leaky cable through a feeder; the first positioning device is arranged between the first end of the first leaky cable and the feeder, and the first positioning device is configured to transmit a positioning signal through the first leaky cable, so as to enable the terminal to perform positioning according to the positioning signal. There is no need to set up a new positioning system, thus reducing costs for network construction as well as space requirements for the network construction.

High-accuracy locating systems and methods are used for determining successful caregiver rounding, monitoring whether housekeepers have properly cleaned patient beds, or determining whether patients have ambulated sufficient distances during recovery. Patient beds having at least two locating tags are used for establishing patient care zones around the patient beds. Locating anchors and equipment tags are moved around a patient room to determine optimum locating anchor placement within the patient room based on signal quality values. A locating tag on a patient bed switches roles to operate as a locating anchor in response to the patient bed becoming stationary. A locating tag has a digital compass which is used to determine a field of good ranging relative to a front of a caregiver wearing the locating tag.

A radio system is provided which comprises a radio receiver and a processing system, wherein the radio receiver is configured to detect radio signals transmitted from a radio transmitter on a plurality of frequency channels, and to measure respective signal strengths of the radio signals for each of the plurality of frequency channels. The processing system is configured to evaluate a measure of statistical dispersion of the respective signal strengths over the plurality of frequency channels, and to use the measure of statistical dispersion to determine information relating to a proximity of the radio transmitter to the radio receiver.

A radio system is provided which comprises a radio receiver and a processing system, wherein the radio receiver is configured to detect radio signals transmitted from a radio transmitter on a plurality of frequency channels, and to measure respective signal strengths of the radio signals for each of the plurality of frequency channels. The processing system is configured to evaluate a measure of statistical dispersion of the respective signal strengths over the plurality of frequency channels, and to use the measure of statistical dispersion to determine information relating to a proximity of the radio transmitter to the radio receiver.

Systems and methods for localizing portable devices are illustrated. One embodiment includes a method for locating a portable device in a network that includes several reference devices. The method measures characteristics of signals transmitted via signal paths between reference devices and a portable device, normalizes the measurements to estimate characteristics of the signal paths, and estimates the likelihood that the portable device is in a particular location. Systems and methods for training prediction models include a method that includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device based on the context data using a prediction model, identifying a target stationary device from the several stationary devices, training the prediction model based on based on the predicted stationary device and the received input.

Systems and methods for localizing portable devices are illustrated. One embodiment includes a method for locating a portable device in a network that includes several reference devices. The method measures characteristics of signals transmitted via signal paths between reference devices and a portable device, normalizes the measurements to estimate characteristics of the signal paths, and estimates the likelihood that the portable device is in a particular location. Systems and methods for training prediction models include a method that includes steps for receiving context data for a portable device in a system, wherein the context data includes localization data that describes a location of the portable device, identifying a predicted stationary device based on the context data using a prediction model, identifying a target stationary device from the several stationary devices, training the prediction model based on based on the predicted stationary device and the received input.

Systems, methods, and apparatus are provided to validate radio operations at post-construction of a cell site. A system includes a processor to execute testing software to validate at least one operation related to a radio of the cell site; a receiver to capture at least one transmit sent in a radio downlink in a cell sector; a location service to determine positional information during the capture of a downlink transmit; the processor to cause the testing software to perform an analysis of the positional information and downlink transmit to identify the cell site by computation of directional angles derived about the downlink transmit, and the processor to measure at least one operation data related to the radio for use to perform at least one radio operation test configured by the testing software to validate at least one radio operation at the cell site.

Systems, methods, and apparatus are provided to validate radio operations at post-construction of a cell site. A system includes a processor to execute testing software to validate at least one operation related to a radio of the cell site; a receiver to capture at least one transmit sent in a radio downlink in a cell sector; a location service to determine positional information during the capture of a downlink transmit; the processor to cause the testing software to perform an analysis of the positional information and downlink transmit to identify the cell site by computation of directional angles derived about the downlink transmit, and the processor to measure at least one operation data related to the radio for use to perform at least one radio operation test configured by the testing software to validate at least one radio operation at the cell site.

Systems, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

A method for preprocessing data for device operations can include preprocessing measurement data using a machine learning technique, determining, by a Kalman filter and based on (1) the preprocessed measurement data or the measurement data and (2) prediction data from a prediction model predicting a measurement associated with the measurement data, corrected measurement data, and providing the corrected measurement data based on the predicted measurement and the preprocessed measurement data.