Systems and methods to position beacons at traffic choke points, use a mobile device to detect the peaks of beacon signals corresponding to the mobile device traveling through the traffic choke points, and thus determine accurately the position and speed of the mobile device in the transport corridor between the choke points. The determined position and speed of the mobile device can be used to improve the performance of other location determination technologies, such as radio frequency fingerprint-based location estimate and/or inertial guidance location estimate.

A system and method for estimating a location of a wireless device receiving signals from plural nodes of a communications network. A wireless device may be directed to transmit a first signal having one or more predetermined parameters. At one or more location measurement units (LMU) an uplink time of arrival (TOA) measurement between the wireless device and one or more of the plural nodes or LMUs may be determined as a function of the first signal transmitted from the wireless device. Downlink signal measurements of signals received by the wireless device may be collected, and a location of the wireless device determined as a function of the uplink TOA measurements and the collected downlink signal measurements.

A location system and applications therefor is disclosed for wireless telecommunication infrastructures. The system is an end-to-end solution having one or more location systems for outputting requested locations of handsets or mobile stations (MS) based on, e.g., CDMA, GSM, GPRS, TDMA or WIFI communication standards, for processing both local mobile station location requests and more global mobile station location requests via, e.g., Internet communication between a distributed network of location systems. The following applications may be enabled by the location system: 911 emergency calls, tracking, navigation, people and animal location including applications for confinement to and exclusion from certain areas, friend finder applications, and applications for allocating user desired resources based on the user's location.

A system includes a plurality of wireless transmitters and a processor configured to: receive, from a mobile device, signal strengths of signals from the wireless transmitters as detected by the mobile device. The processor is also configured to determine a location of the mobile device in a vehicle, based on a distance from the mobile device to each of the wireless transmitters, as indicated by the received signal strengths and store the location of the mobile device as an occupant location.

A method for estimating position of a mobile device which includes receiving, from a network server, observed time difference of arrival (OTDOA) assistance data for a first plurality of cells from a base station almanac (BSA) accessible to the network server. The OTDOA assistance data is stored, within a memory of the mobile device, as a first micro-BSA. A position estimate for the mobile device is determined based upon time difference of arrival (TDOA) measurements associated with an initial subset of the first plurality of cells and initial OTDOA assistance data corresponding to the initial subset of the first plurality of cells. The initial OTDOA assistance data may be generated by the micro-BSA based upon an initial seed estimate.

A system and method for detecting and responding to pet urination and defecation events is disclosed. A pet-worn motion capture device equipped with an inertial measurement unit (IMU) and wireless transceiver transmits data to a base station or mobile application. A machine learning model running on the device classifies the pet's behavior in real time and signals when a urination or defecation event is detected. Upon classification, the system records the pet's location using one or more localization methods, including angle-of-arrival triangulation, phase-based ranging, GPS, or camera-based visual positioning. A notification is sent to the pet owner with the event type and location, enabling clean-up. In some embodiments, a robotic unit may be deployed to perform automated retrieval or rinsing based on the location data. The system operates with minimal pet-mounted hardware and can be configured for standalone operation or integrated with additional sensors, mapping data, or user-defined parameters.

The present invention discloses an automated AI-enabled mixed signal processing-based method for suitable channel path characterization in a radio propagation environment for a multi-antenna-based communication system comprising capturing dual wideband spreading of channel paths, recovering the channel paths under extremely low SNR scenario via Deep Learning (DL) assisted channel response denoising, identifying the number of unknown channel path clusters and their respective 2D spreads through a robust clustering mechanism and estimating Direction of Arrival (DoA) and Time of Arrival (ToA) of the channel paths with low computational complexity, accounting for spatial wideband effects to mitigate off-grid measurement errors via a rotation-based fine-tuning approach.

Disclosed are techniques for vehicle positioning. In an aspect, a positioning engine aggregator of a host vehicle determines a position estimate of the host vehicle based on one or more position fixes determined by one or more positioning engines of the host vehicle, receives input from a user interface (UI) of the host vehicle to correct the position estimate of the host vehicle, and updates the position estimate of the host vehicle based on the input from the UI.

Systems are provided for determining location of tags in an environment. The system includes at least one mobile antenna that moves around the environment. The absolute location associated with the mobile antenna is known and it sends and receives messages including at least one of time of arrival, time of departure, signal strength and angle of arrival. A measurement module performs distance measurement between the at least one mobile antenna and at least one tag in the environment to obtain at least. The distance measurements are associated with at least two locations of mobile antenna. A storage module records the distance measurements at the at least two locations and the at least two locations. A location module computes a location of each of the at least one tags based on the recorded distance measurements at the at least two locations and the recorded locations of the mobile antenna.

A system may include a receiver node. The receiver node may include a communications interface and a controller. The receiver node is time synchronized with a transmitter node to apply Doppler corrections to the receiver node's own motions relative to a common reference frame. The receiver node may be configured to: The receiver node may be configured to: based at least on the receiver node being time synchronized with the transmitter node to apply Doppler corrections and the common reference frame, use Doppler null scanning (DNS) to determine DNS derived information, the DNS derived information including a bearing and the receiver node's relative position relative to the transmitter node; and output a position, navigation, and timing (PNT) solution based at least on the DNS derived information.