First information corresponding to a radio signal received at a first sensing device from a candidate location is obtained. Second information corresponding to a radio signal received at a second sensing device from the candidate location is obtained. A first relationship between the first sensing device and the candidate location and a second relationship between the second sensing device and the candidate location are determined. A first inverse and a second inverse of respectively the first and second relationships are obtained. A first estimate of the radio signal at the first sensing device is determined from the first information and the first inverse. A second estimate of the radio signal at the second sensing device is determined from the second information and the second inverse. Energy emitted from the candidate location is measured based on the first estimate and the second estimate.

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.

An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.

A method for location determination in a wireless communications system solves a minimization problem using estimated time-of-arrivals (TOAs) of reference signals [108, 110, 112] received by a receiving node [100] from transmitting nodes [102, 104, 106] and predetermined locations of the transmitting nodes, to produce an estimate of unknown receiving node location and/or an estimate of an unknown time of transmission (t) of the reference signals. The minimization problem is defined in terms of a theoretical system model of time-of-arrivals (TOAs), linearized globally as a function of the unknown receiving node location, the unknown time of transmission (t) of the reference signals, and an additional intermediate variable (u) that defines a non-linear quadratic constraint over position coordinates of the unknown receiving node location and the time of transmission (t) of the reference signals, wherein the minimization problem optimizes the additional intermediate variable (u). The method may also be implemented with the roles of transmitters and receivers interchanged.

Systems, methods, and apparatus are provided for automated identification of open space in a wireless communications spectrum, by identifying sources of signal emission in the spectrum by automatically detecting signals, analyzing signals, comparing signal data to historical and reference data, creating corresponding signal profiles, and determining information about the open space based upon the measured and analyzed data in near real-time.

The disclosure relates to a detection method and a detection apparatus, the method including: calculating, when a location base station in an ultra-wideband location system receives a pulse response, values of a plurality of specified pulse response characteristics using the received pulse response, and using the calculated values as values of the plurality of specified pulse response characteristics of the location base station; calculating differences between the values of the plurality of specified pulse response characteristics of the location base station and values of the plurality of specified pulse response characteristics of the location base station at a previous time, and using the calculated differences as variations of the plurality of specified pulse response characteristics of the location base station; determining, based on at least the variations of the plurality of specified pulse response characteristics of the location base station and by means of a trained classifier, whether signal propagation in which the location base station participates is non-line-of-sight propagation.

A locating and communication method for a radio terminal by means of a satellite locating and communication system, which implements a first step, in the course of which the radio terminal transmits to a non-geostationary satellite a repeating sequence a predetermined number of times N for the same data packet, which is time-shifted by the same predetermined time shift Δτ each time is provided. Subsequently, a satellite access and processing ground station determines the location of the radio terminal from the data packets with access, which are extracted from a listening signal digitized and dated by the satellite and from the same detected sequence associated with said radio terminal, and from the ephemerides of the satellite by using a technique for measuring angle or angles of arrival by means of sequenced interferometry associated with a technique for measuring Doppler drift or drifts.

The invention relates to a method and a system for position determination of at least one object, in particular inside a building. In a method for position determination of at least one object, at least four transmitters transmit circularly polarized signals and a receiver to be localized receives the circularly polarized signals. At least two and in particular all transmitters transmit periodic signals of different frequencies, these frequencies being closely adjacent.

The invention relates to a method for locating a transmitter, which is implemented in a processing unit of a processing station of a locating system.

An electronic device may include wireless circuitry that detects the location of external objects. A signal generator may concurrently transmit different radio-frequency ranging signals over two or more transmit antennas. The ranging signals may include waveforms with time-varying frequencies, where each waveform includes frequencies that are non-overlapping with the frequencies of each of the other waveforms at any given time. Antennas may receive reflected versions of the ranging signals and a processor may process the reflected versions of the ranging signals to identify the location of the external objects. This may prevent interference between the ranging signals and may significantly reduce the latency of location detection relative to examples where the ranging signals are transmitted by different transmit antennas in series.