Systems, apparatuses, and methods are described for operating and maintaining a data network, and for detecting problems such as signal leakage. In one implementation, a computing device may determine, based on availability and location, one or more mobile devices and may cause the mobile devices to detect a wireless signal. The detected wireless signal may be identified as having leaked from a network, such as a wired network, and used to detect the source of leaks.

A practically implementable robust direction-of-arrival (DoA) estimation approach that is resistant to localization errors due to mobility, multipath reflections, impulsive noise, and multiple-access interference. As part of the disclosed invention the inventors consider infrastructure-less 3D localization of autonomous underwater vehicles (AUVs) with no GPS assistance and no availability of global clock synchronization. The proposed method can be extended to challenging communication environments and applied for the localization of assets/objects in space, underground, intrabody, underwater and other complex, challenging, congested and sometimes contested environments. Each AUV leverages known-location beacon signals to self-localize and can simultaneously report its sensor data and measurement location. The approach uses two known location beacon nodes, where the beacons are single-hydrophone acoustic nodes that are deployed at known locations and transmit time-domain coded signals in a spread-spectrum fashion.

A determination of a spatial position of a transmitter which emits a wireless signal is provided. A receiver which moves relative to the transmitter receives the wireless signal and analyses a Doppler shift in the received signal. Information is generated for specifying possible spatial positions of the transmitter based on a point of time when a sign in the Doppler shift changes. In this way, a very simple and efficient determination of possible locations of the transmitter can be achieved.

According to one embodiment, a measuring apparatus includes an ultrasonic transmitter, an ultrasonic receiver and an estimator. An ultrasonic transmitter transmits, as a transmission signal, an ultrasonic beam in a plurality of directions. An ultrasonic receiver receives, as received signals, reflected waves of the transmission signal from the plurality of directions, one received signal including a plurality of reflected waves when the transmission signal is transmitted to one direction of the plurality of directions. An estimator that estimates range information from the received signals, based on preliminarily obtained received signals and a preliminarily obtained distance to an object.

A LIDAR system includes a waveguide array configured to output a LIDAR output signal such that the LIDAR output signal is reflected by an object located off the LIDAR chip. The system also includes electronics configured to tune a wavelength of the LIDAR output signal such that the direction that the LIDAR output signal travels away from the LIDAR chip changes in response to the tuning of the wavelength by the electronics.

Systems, apparatuses, and methods are described for operating and maintaining a data network, and for detecting problems such as signal leakage. In one implementation, a computing device may determine, based on availability and location, one or more mobile devices and may cause the mobile devices to detect a wireless signal. The detected wireless signal may be identified as having leaked from a network, such as a wired network, and used to detect the source of leaks.

Apparatuses and methods for determining the perspective of a receiver of a transmission from the transmitting station are disclosed. The receiver may determine an angle of arrival of the transmission. The angle of arrival may be used to generate perspective information, which may then be transmitted to the transmitting station for use in enhancing recognition and detection of the receiver. In embodiments, the perspective information may comprise an image or images of the receiver generated from a model of the receiver. In embodiments, the transmission may be a millimeter wave transmission.

A method for determining the location of a first source. A first member is provided. A first tip microphone is attached to a first end of the first member. A first static microphone is provided. An initial frequency is recorded at the static microphone. The first member is rotated at an angular velocity. A tangential distance is calculated from the first tip microphone to the source. A source angle is calculated from the first member to the source. A height of the source is calculated.

A housing can be wearable by a user. At least one microphone in or on the housing can sense ambient audio and produce at least one time-domain audio signal. The housing can be passive, such that the sensed ambient audio does not include any sound emitted from the housing. A transformation circuit can transform the at least one time-domain audio signal to form at least one frequency-domain audio signal. An identification circuit can identify a spectral feature in the at least one frequency-domain audio signal. A tracking circuit can track a time evolution of the spectral feature. A determination circuit can determine from the tracked time evolution of the spectral feature that the spectral feature corresponds to an object moving toward the housing. An alert circuit can alert the user, in response to the determination circuit determining that the object is moving toward the housing.

The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to transmit and receive acoustic signals. Due to relative movements between the mobile communication device and the base transmitter unit, frequencies of the received signals shift due to Doppler effect. The mobile communication device is configured to compensate Doppler frequency shifts in the received acoustic signals prior to performing a deconvolution decoding process. The mobile communication device is further configured to compensate Doppler frequency shifts and perform deconvolution decoding process on acoustic signals received from multiple signal transmission paths.