Implementations relate to utilizing cellular signals to determine device location. In some implementations, a method includes obtaining location fingerprints, each fingerprint associated with a respective geographic location and being based on cellular signal characteristics at that location including multiple channel impulse responses (CIRs) for each location fingerprint for signals received from a plurality of cellular nodes. A fingerprint map is formed that references the location fingerprints. A request may be received for a particular geographic location of a particular user device, and a particular location fingerprint is obtained for the particular device that indicates cellular signal characteristics at the particular location, including CIRs for signals received from multiple cellular nodes. The particular fingerprint is compared to location fingerprints in the fingerprint map, a matching location fingerprint in the fingerprint map is selected, and an associated geographic location is output as the particular location of the particular device.

A computer-implemented method (1400) performed in a radio access network (1510) for secondary carrier prediction is provided. The method includes obtaining (1402) an uplink channel impulse response based on a reference signal transmitted by a user equipment (UE) (104) over a primary carrier link to a serving network node (102) in a primary cell (102) currently serving the UE (104). The method includes extracting (1404) one or more features from the uplink channel impulse response. The method includes predicting (1406) an existence or non-existence of a secondary carrier link between the UE (104) and a target network node in a secondary cell (106) based on the extracted one or more features. The method includes determining (1408) whether to perform a handover procedure of the UE (104) from the serving network node in the primary cell (102) to the target network node in the secondary network cell (106) based on the predicting.

A signal processing circuit includes a channel estimation device, a data processing circuit and a false path detection circuit. The channel estimation device estimates transmission paths of a received signal based on a preamble portion of the received signal to generate channel parameter information. The data processing circuit processes a data portion of the received signal according to the channel parameter information to generate a data demodulation result associated with each transmission path. The false path detection circuit determines a characteristic value based on the data demodulation result associated with each transmission path, determines whether corresponding transmission path is a false path according to the characteristic value and the channel parameter information, and updates the channel parameter information to generate updated channel parameter information in response to the corresponding transmission path being determined as a false path. The updated channel parameter information does not comprise information regarding the false path.

A channel impulse response (CIR) feedback method and an apparatus are provided. A second communication apparatus sends a second signal, and a first communication apparatus receives a first signal obtained through channel transmission on the second signal, and sends a CIR report corresponding to the first signal. The CIR report indicates a quantization result of each first CIR tap in at least one continuous time period, and an amplitude of the first CIR tap is greater than or equal to a first threshold. Based on this solution, the first communication apparatus feeds back, to the second communication apparatus, a quantization result of each CIR tap whose amplitude is greater than or equal to a threshold in the at least one continuous time period.

Techniques for dynamically selecting filter parameters for a multi-radio multi-band configuration are described. An example technique includes determining a device class associated with a computing device comprising a plurality of radios operating on a plurality of bands. One or more target operating parameters of the computing device are determined based at least in part on the device class. One or more filter parameters of a plurality of filters for operating the plurality of radios are determined based at least in part on the one or more target operating parameters. The plurality of radios are configured according to the one or more filter parameters.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a first indication of a set of analog receive beams and an instruction to report one or more post-analog-beamformed channel impulse responses (CIRs) that are based at least in part on the set of analog receive beams. The UE may transmit a second indication of a CIR report that indicates the one or more post-analog-beamformed CIRs. Numerous other aspects are described.

A wireless device includes a receiver and logic at least one of coupled to or integrated within the receiver. The logic receives, from a transmitter, a signal. The logic generates, based on an expected signal impulse response, a first expected signal. The generates, based on an attack pattern impulse response, an attack pattern. The logic determines, based on the signal, the first expected signal, the attack pattern, whether an attack is present in the signal.

Various aspects of the present disclosure relate to methods, apparatuses, and systems that support codebook configuration for device positioning. For instance, implementations provide for codebook configuration based on various criteria pertaining to network configuration entities (e.g., a location and mobility function (LMF)), target UE nodes (e.g., UEs for which position is to be determined) and/or positioning anchor nodes, e.g., nodes that transmit positioning reference signals (PRS). The criteria, for example, represent attributes of the different nodes that may affect codebook configuration and/or complexity. Using a configured codebook, a target UE can process received PRS to determine different position-related parameters of the target UE. The target UE can transmit the position-related parameters to a different node (e.g., a network entity) to enable the different node to process the position-related parameters to estimate a location of the target UE.

Embodiments of wireless communications systems, ultra-wide band (UWB) systems, and methods for wireless communications are described. In an embodiment, a wireless communications system includes a processor configured to obtain an angle of arrival (AoA) estimate from wireless signals; perform a Channel Impulse Response (CIR) analysis, and determine a confidence level for the AoA estimate based on the CIR analysis.

The present invention provides a method for low-complex estimation of Direction of Arrival (DoA) and Time of Arrival (ToA) in multi-antenna-based communication comprising detecting overlapped paths between a Mobile Station (MS) and a Base Station (BS) operating under said multi-antenna-based communication with scatters present therein involving channel paths represented as Channel Impulse Response (CIR) defined with channel signatures including delay and angle steering vectors, decoupling the channel paths in delay and angle-domain and separately estimate the DoA and ToA of each path with a low computational complexity which is based on one-dimensional low-index based rotation methodology and finally pairing the DoA and the ToA.