Methods and apparatus to reduce communications for position, navigation and timing (PNT) determinations are disclosed. A disclosed example apparatus to enable PNT determination for a mobile station includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to identify features of signals of opportunity (SOOP) measured at a reference station, generate a model based on the identified features of the SOOP in conjunction with a position and a timing of the reference station, and provide at least one of the model or parameters associated with the model to the mobile station for the PNT determination.

Methods and apparatuses provide a mechanism to account for timing errors of a wireless device (12) in positioning measurements. In one example, a wireless device (12) performs reference-signal transmissions or measurements and sends information to a network node (20) that is involved in positioning of the wireless device (12). The information indicates associations of the reference-signal transmissions or measurements with respective timing groups of the wireless device (12). Each timing group represents a related set of transmission or reception timing errors within the wireless device (12). Based on the information, the network node (20) accounts for the different timing-group associations when performing positioning calculations that are based on the reference-signal transmissions or measurements performed by the wireless device (12).

A method of determining a two-dimensional position of a moving wireless device is provided. The method comprises obtaining, for each of three or more base stations, one or more measurements of a carrier frequency offset for one or more signals sent between the moving wireless device and the respective base stations. The method further comprises inputting the carrier frequency offset measurements into a model to determine a two-dimensional position of the moving wireless device, in which inputs to the model do not include range measurements for the moving wireless device with respect to the three or more base stations.

In an aspect, a wireless entity may transmit a first indication of one or more Doppler error group (DEG) identifiers (IDs) corresponding to one or more DEGs supported by the wireless entity, where each of the one or more DEGs is associated with a hardware configuration or an operational state of the wireless entity. The wireless entity may transmit a first set of measurements associated with a DEG ID of the one or more DEG IDs.

A method of determining the position of a moving unmanned aerial vehicle (UAV) is provided. The method comprises obtaining, for each of three or more base stations, one or more measurements of a carrier frequency offset (CFO) for one or more signals sent between a moving UAV and the respective base station. The method further comprises inputting the CFO measurements into a model to determine a position of the UAV, in which inputs to the model do not include range measurements of the UAV with respect to the three or more base stations.

Embodiments include methods for determining a movement state of a user equipment (UE) operating in a radio access network (RAN). Such methods include performing positioning measurements on signals received from a plurality of transmission points (TPs) in the RAN, including first measurements of Doppler shift of signals from a first TP, second measurements of Doppler shift of signals from a second TP that is spatially separated from the first TP, and third measurements of signals from a third TP. The third TP can be the same as the first or second TP, or spatially separated from both. Such methods include determining a UE movement state based on the positioning measurements and an interacting multiple-model (IMM) that includes a first almost-constant velocity model, a second maneuver velocity model, and a Doppler shift bias state common to the first and second models. Other embodiments include complementary methods for a RAN node.

Methods, apparatus, systems and articles of manufacture are disclosed to validate data communicated by a vehicle. An example apparatus an anomaly detector to, in response to data communicated by a vehicle, at least one of compare an estimated speed with a reported speed or compare a location of the vehicle with a reported location. The apparatus including the anomaly detector further to generate an indication of the vehicle in response to the comparison. The apparatus further includes a notifier to discard data sent by the vehicle and notify surrounding vehicles of the data communicated by the vehicle.

A system and method including a first device provided on an object and configured to receive wireless communication signals from a remote device in accordance with a device signaling protocol. The first device may include a high-frequency interface operable to transmit and receive communication signals via a physical medium, where the high-frequency interface is configured to communicate via the physical medium in accordance with same device signaling protocol utilized for wireless communications.

Systems, device configurations, and processes are provided for blind opportunistic navigation (BON) including cognitive deciphering of partially known signals of opportunity and blind Doppler estimation from LEO satellite signal. In one embodiment a method includes receiving a signal of opportunity and using a framework for BON. In one embodiment, the framework includes performing blind Doppler estimation and tracking, performing coherent integration, and performing blind beacon detection/tracking. Coherent integration may be performed once a blind estimate of the Doppler is produced, and detecting symbols of a beacon sequence is performed for at least one of acquiring, tracking, and navigating with the received signal of opportunity. According to another embodiment, a method for blind Doppler estimation, includes receiving a signal of opportunity, performing an initial wipe-off operation, performing a blind residual Doppler estimation, and performing a Doppler ambiguity resolution.

A geolocation system for efficiently reconstructing and geolocating signals collected in multiple spatially-distributed sensors using a plurality of different Nyquist-folding samplers operating at sub-Nyquist rates. The sensors use Nyquist-folding with a plurality of sampling rates and patterns to reduce the volume of data transmitted off the sensor while retaining the ability to detect weak signals, and produce high-quality signal reconstructions and geolocations. The ambiguities in signal reconstruction introduced by sub-Nyquist sampling are addressed by using spatial consistency computed from sub-Nyquist geo-observables to assist in RF ambiguity resolution.