Apparatus and methods for velocity scanning in, e.g., bodies of water. In one embodiment, a scanned one-dimensional transducer array Doppler sonar arrangement is used to remotely measure both vertical and horizontal profiles of a river or channel along-stream water velocities within a cross-section of the river/channel from a single side-mounted sonar.

Apparatus and methods for velocity scanning in, e.g., bodies of water. In one embodiment, a scanned one-dimensional transducer array Doppler sonar arrangement is used to remotely measure both vertical and horizontal profiles of a river or channel along-stream water velocities within a cross-section of the river/channel from a single side-mounted sonar.

A device and method for reducing noise of an external measurement sensor of mobility, including a storage unit that stores measurement values of an external measurement sensor of mobility including an ultrasonic sensor measuring distance values between the mobility and an object outside the mobility; and an operation unit that generates a plurality of functions capable of being derived from the measurement values stored in the storage unit, derives a final function having the most measurement values within a first range, among the plurality of functions, derives an estimated value that is an expected value of the measurement value through the final function, and selects a candidate final value that is the closest to the estimated value within a second range, among actual measurement values at a time point corresponding to the estimated value, as a final value.

A system and method for qualitative analysis of time progressive signals, comprising: a qualitative signal analysis module, comprising at least a processor, a memory, and a long term storage device; and an output processor module comprising at least a processor a memory and a network interface has been devised. The qualitative signal analysis module retrieves signal data over time and applies pre-programmed protocols to compare multiple aspects of the signal data to derive meaningful data. The output processor module encodes data generated by the qualitative signal analysis module for use in subsequent analytical steps such as further manipulation, classification or long term storage.

A device comprises a processor coupled with an ultrasonic transducer which is configured to emit an ultrasonic pulse and receive corresponding returned signals associated with a distance range of interest in a field of view of the ultrasonic transducer. The processor is configured to: remove a low frequency component from the returned signals to achieve modified returned signals; calculate, from the modified returned signals, a variation in amplitude; determine a quantification of the variation in amplitude for a first subset of the modified returned signals associated with a first subrange of the distance range of interest; employ the quantification to correct for changes in the first subset to achieve first normalized sensor data for the first subrange, where the first normalized sensor data is sensitive to occurrence of change over time in the first subrange; and detect a moving object in the first subrange using the first normalized sensor data.

Technologies for processing imaging data are disclosed, such as sonar images. A computing device obtains a three-dimensional (3D) volumetric view of a space, such as an underwater space. This data includes multiple voxels including a value characterizing a 3D point in the space. The computing device divides this data into slices representing a cross-section of the 3D volumetric view. The computing device clips one or more voxels in these slices based on a weighting function.

Techniques are disclosed for systems and methods to provide sonar systems for mobile structures. A sonar system includes a sonar transducer assembly including a sonar transducer, a sonar receiver configured to receive acoustic returns from the sonar transducer and convert the acoustic returns into arrays of time differentiated sonar data samples, and a logic device adapted to communicate with the sonar receiver. The logic device is configured to receive the arrays of the time differentiated sonar data samples from the sonar receiver and process the received arrays to enhance the time differentiated sonar data samples substantially without enhancing sonar artifacts in the time differentiated sonar data samples Processed sonar data and/or resulting imagery may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the sonar transducer assembly and/or a mobile structure.

Techniques are disclosed for systems and methods to provide sonar systems for mobile structures. A sonar system includes a sonar transducer assembly including a sonar transducer, a sonar receiver configured to receive acoustic returns from the sonar transducer and convert the acoustic returns into arrays of time differentiated sonar data samples, and a logic device adapted to communicate with the sonar receiver. The logic device is configured to receive the arrays of the time differentiated sonar data samples from the sonar receiver and process the received arrays to enhance the time differentiated sonar data samples substantially without enhancing sonar artifacts in the time differentiated sonar data samples Processed sonar data and/or resulting imagery may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the sonar transducer assembly and/or a mobile structure.

An ultrasonic gesture recognition system is provided that recognizes gestures based on analysis of return signals of an ultrasonic pulse that is reflected from a gesture. The system transmits an ultrasonic chirp and samples a microphone array at sample intervals to collect a return signal for each microphone. The system then applies a beamforming technique to frequency domain representations of the return signals to generate an acoustic image with a beamformed return signal for multiple directions. The system then generates a feature image from the acoustic images to identify, for example, distance or depth from the microphone array to the gesture for each direction. The system then submits the feature image to a deep learning system to classify the gesture.

A constant false alarm rate (CFAR) device for a signal detection system is disclosed herein. The CFAR device includes a first signal selection unit and a second signal selection unit. The first signal selection unit receives a last signal of a lagging sorting array and signals of one or more lagging guard cells, selects any one of the last signal of the lagging sorting array and the signals of the one or more lagging guard cell as a test signal based on a received guard cell size, and outputs the test signal. The second signal selection unit receives the test signal and signals of one or more leading guard cells, selects any one of the test signal and the signals of the one or more leading guard cells based on the guard cell size, and transfers this selected signal to the leading sorting array.