A method is provided for localizing an underwater vehicle using acoustic ranging. The method includes receiving, using an acoustic receiver, a time series signal based on one or more acoustic signals transmitted from an acoustic source having a known location; determining a travel time of the waveform from the known location of the acoustic source to the acoustic receiver; and determining a range of the underwater vehicle with respect to the acoustic source based on the travel time of the waveform and a sound speed field taken along a ray trajectory extending from the known location of the acoustic source and intersecting with the acoustic receiver at an expected arrival time and depth of the acoustic signal at the underwater vehicle.

Methods and systems for spatial filtering transmitters and receivers capable of simultaneous communication with one or more receivers and transmitters, respectively, the receivers capable of outputting source directions to humans or devices. The methods and systems use spherical wave field partial wave expansion (PWE) models for transmitted and received fields at antennas and for waves generated by contributing sources. The source PWE models have expansion coefficients expressed as functions of directional coordinates of the sources. For spatial filtering receivers a processor uses the output signals from at least one sensor outputting signals consistent with Nyquist criteria representative of the wave field and the source PWE model to determines directional coordinates of sources (wherein the number of floating point operations are reduced) and outputs the directional coordinates and communications to a reporter configured for reporting information to humans. For spatial filtering transmitters a processor uses known receiver directions and source partial wave expansions to generate signals for transducers producing a composite total wave field conveying communications to the specified receivers. The methods and communications reduce the processing required for transmitting and receiving spatially filtered communications.

A method for aligning a vehicle at a charging station may include determining the distance between each sensor of the plurality of sensors and a target surface of the charging station. The method may further include aligning the vehicle at the charging station using the determined distance data, and charging the electric vehicle at the charging station. The method may further include using the determined distances to align the side of the vehicle substantially parallel to the target surface.

A method for aligning a vehicle at a charging station may include determining the distance between each sensor of the plurality of sensors and a target surface of the charging station. The method may further include aligning the vehicle at the charging station using the determined distance data, and charging the electric vehicle at the charging station. The method may further include using the determined distances to align the side of the vehicle substantially parallel to the target surface.

A receiving apparatus (7) that can estimate a motion-induced frequency shift in a received signal comprises a processing system (205) and a receiver (204) configured to receive a signal comprising one or more instances of a transmitted signal. The processing system (205) is configured to generate data representative of a plurality of impulse response functions by deconvolving the received signal with each of a plurality of templates representative of the transmitted signal shifted in frequency by a different respective frequency shift. The processing system (205) is further configured to evaluate a signal-to-noise measure for each of the plurality of impulse response functions, and to identify an impulse response function of the plurality of impulse response functions for which the signal-to-noise measure satisfies a peak criterion.

A receiving apparatus (7) that can estimate a motion-induced frequency shift in a received signal comprises a processing system (205) and a receiver (204) configured to receive a signal comprising one or more instances of a transmitted signal. The processing system (205) is configured to generate data representative of a plurality of impulse response functions by deconvolving the received signal with each of a plurality of templates representative of the transmitted signal shifted in frequency by a different respective frequency shift. The processing system (205) is further configured to evaluate a signal-to-noise measure for each of the plurality of impulse response functions, and to identify an impulse response function of the plurality of impulse response functions for which the signal-to-noise measure satisfies a peak criterion.

The present invention discloses a method for determining an effective sound velocity in the deep sea. The method is applied to an apparatus for determining an effective sound velocity in the deep sea having a transmission point, a receiving point, and an underwater mobile carrier. The transmission point is installed on the sea surface such that the depth of the transmission point is unchanged. The receiving point is installed on the underwater mobile carrier such that the depth of the receiving point changes with movement of the underwater mobile carrier. The underwater mobile carrier can measure a sound velocity profile between the transmission point and the receiving point and a horizontal distance between the transmission point and the receiving point.

The present invention discloses a method for determining an effective sound velocity in the deep sea. The method is applied to an apparatus for determining an effective sound velocity in the deep sea having a transmission point, a receiving point, and an underwater mobile carrier. The transmission point is installed on the sea surface such that the depth of the transmission point is unchanged. The receiving point is installed on the underwater mobile carrier such that the depth of the receiving point changes with movement of the underwater mobile carrier. The underwater mobile carrier can measure a sound velocity profile between the transmission point and the receiving point and a horizontal distance between the transmission point and the receiving point.

The present disclosure relates to a system that obtains at least one of a recommended temperature and an operation mode to be set on an air conditioner by applying a position of a user and an ambient temperature of the air conditioner to a learning model trained by using an artificial intelligence algorithm, and sets at least one of the obtained recommended temperature and the obtained operation mode on the air conditioner. In this case, the learning model may be, for example, a model generated by using at least one of machine learning, a neural network, or a deep learning algorithm as the artificial intelligence algorithm.

A method for providing sound tracking information includes detecting a sound emitted adjacent to a subject vehicle and generating a sound tracking result based at least on sound data relating to the detected sound. A relative velocity of another vehicle operating near the subject vehicle is determined based on an angle of the other vehicle determined from the sound tracking result. A notification regarding the other vehicle is determined based on the relative velocity. The sound tracking result includes, for each of a plurality of angles relative to the subject vehicle in each of a plurality of frames of sound data according to time, an estimate of a probability of the presence of at least one other vehicle at each respective angle in each respective frame.