An autonomous system with no Customer Network Investment is described, wherein the system is configurable to operate on in a band in addition to the LTE band. Such system allows the definition of hybrid operations to accommodate the positioning reference signals (PRS) of LTE and already existing reference signals. The system can operate with PRS, with other reference signals such as cell-specific reference signals (CRS), or with both signal types. As such, the system provides the advantage of allowing network operator(s) to dynamically choose between modes of operation depending on circumstances, such as network throughput and compatibility.

Examples are disclosed herein that relate to depth imaging techniques using ultrasound One example provides an ultrasonic depth sensing system configured to, for an image frame, emit an ultrasonic pulse from each of a plurality of transducers, receive a reflection of each ultrasonic pulse at a microphone array, perform transmit beamforming and also receive beamforming computationally after receiving the reflections, form a depth image, and output the depth image for the image frame.

Examples are disclosed herein that relate to depth imaging techniques using ultrasound One example provides an ultrasonic depth sensing system configured to, for an image frame, emit an ultrasonic pulse from each of a plurality of transducers, receive a reflection of each ultrasonic pulse at a microphone array, perform transmit beamforming and also receive beamforming computationally after receiving the reflections, form a depth image, and output the depth image for the image frame.

A multi-port antenna and associated systems having extremely wide bandwidth and capable of maintaining directivity as frequency decreases and is made arbitrarily low, allowing DF systems to operate to arbitrarily low frequency regardless of size. Construction may be rugged, lightweight, and low cost, allowing reliable service in harsh environments. The systems allow utilization of both the E and H fields occupying a common area of space. The disclosed DF system takes advantage of knowledge of the as-installed array manifold, uses pattern matching to determine the angle of arrival (AoA) of incoming waves, and enhances sensitivity by using integration on cross-correlation products between the multiple ports to achieve SNR improvement.

An array-based Compressed sensing Receiver Architecture (ACRA) includes an antenna array with two or more antennas connected to two or more ADCs that are clocked at two or more different sampling rates below the Nyquist rate of the incident signals. Comparison of the individual aliased outputs of the ADCs allows for estimation of signal component characteristics, including signal bandwidth, center frequency, and direction-of-arrival (DoA). Multiple digital signal processing (DSP) techniques, such as sparse fast Fourier transform (sFFT), can be employed depending on the type of detection or estimation.

An array-based Compressed sensing Receiver Architecture (ACRA) includes an antenna array with two or more antennas connected to two or more ADCs that are clocked at two or more different sampling rates below the Nyquist rate of the incident signals. Comparison of the individual aliased outputs of the ADCs allows for estimation of signal component characteristics, including signal bandwidth, center frequency, and direction-of-arrival (DoA). Multiple digital signal processing (DSP) techniques, such as sparse fast Fourier transform (sFFT), can be employed depending on the type of detection or estimation.

In an array antenna having a plurality of subarrays, a direction finding system and technique includes receiving signals at an array antenna and capturing data with a plurality of groups of subarrays. Each group of subarrays may capture data during a selected one of a plurality of different dwell times. The method further includes generating a plurality of dwell spatial sample covariance matrices (SCMs) using data corresponding to one or more of the plurality of groups of subarrays and combining the plurality of dwell spatial SCMs in complex form to generate an aggregate covariance matrix (ACM). The ACM may then be used in subsequent processing with MINDIST technique to estimate a direction of a received signal based on the combined data.

Aspects of the present disclosure may compensate for cyclic shift delays (CSD) in transmitted signals when estimating angle of arrival information of a wireless signal transmitted by a transmitting device. In some aspects, a receiving device may determine a presence of CSD in the wireless signal, and estimate an angle of arrival of the wireless signal based at least in part on the presence of CSD. For example, the receiving device may determine a first tap of the wireless channel based at least in part on the CSD. The receiving device may then determine a phase difference of the wireless signal between a plurality of antennas of the receiving device based on the first tap of the wireless channel. The receiving device may estimate the angle of arrival of the wireless signal based on the phase difference.

Aspects of the present disclosure may compensate for cyclic shift delays (CSD) in transmitted signals when estimating angle of arrival information of a wireless signal transmitted by a transmitting device. In some aspects, a receiving device may determine a presence of CSD in the wireless signal, and estimate an angle of arrival of the wireless signal based at least in part on the presence of CSD. For example, the receiving device may determine a first tap of the wireless channel based at least in part on the CSD. The receiving device may then determine a phase difference of the wireless signal between a plurality of antennas of the receiving device based on the first tap of the wireless channel. The receiving device may estimate the angle of arrival of the wireless signal based on the phase difference.

Some demonstrative embodiments include devices, systems and methods of determining a Time of Arrival (ToA) of a wireless communication signal. For example, a method may include receiving a signal over a wireless communication channel, detecting a symbol boundary of a symbol of the signal, and determining a ToA of the signal based on the symbol boundary and a channel estimation of the wireless communication channel.