Abstract: A computer-implemented method of discriminating a surface from a subsurface sound-generating target in the water includes identifying an arrival angle of sound generated by the sound-generating target and received by a sound receiver at a known depth in the water. The method also includes generating a probability density function about the measured arrival angle having a corresponding plurality sound arrival angles and mapping the probability density function about the measured arrival angle to a probability density function of vertex depths. The method also includes calculating a probability that the depth of the sound-generating target is greater than a threshold depth by integrating the probability density function of vertex depth. A computer readable storage medium has instructions for implementing the above method and a system has modules for implementing the above method.

Abstract: An autonomous sonar system and method provide an arrangement capable of beamforming in three dimensions, detecting loud targets, adaptively beamforming in three dimensions to avoid the loud targets, detecting quiet targets, localizing the loud or quiet targets in range, bearing, and depth, detecting modulation of noise associated with propellers of the loud or quiet targets, generating three dimensional tracks of the loud or quiet targets in bearing, range and depth, making classification of the loud or quiet targets, assigning probabilities to the classifications, and generating classification reports according to the classifications for communication to a receiving station, all without human assistance.

Abstract: A computer-implemented method of discriminating a surface from a subsurface sound-generating target in the water includes identifying an arrival angle of sound generated by the sound-generating target and received by a sound receiver at a known depth in the water. The method also includes generating a probability density function about the measured arrival angle having a corresponding plurality sound arrival angles and mapping the probability density function about the measured arrival angle to a probability density function of vertex depths. The method also includes calculating a probability that the depth of the sound-generating target is greater than a threshold depth by integrating the probability density function of vertex depth. A computer readable storage medium has instructions for implementing the above method and a system has modules for implementing the above method.

Abstract: Systems and methods for detection and analysis of amplitude modulation of underwater sound employ a product of a time delayed first electrical signal with a second electrical signal to generate a summed-product signal. The time delayed first electrical signal and the second electrical signal have an amplitude modulation indicative of characteristics of a vessel propeller. The summed-product signal is analyzed to detect a vessel and to determine the characteristics of the vessel propeller. In some arrangements a plurality of summed-product signals are analyzed to also determine a depth of the detected vessel.

Abstract: In one aspect, a method to determine multipath angles of arrival includes performing an autocorrelation on a first signal received at a first received beam from a signal source, performing a cross-correlation between the first signal and a second signal received at a second receive beam from the signal source, and determining an angle of arrival for a first path from the signal source and an angle of arrival for a second path from the signal source based on the autocorrelation and the cross-correlation.

Abstract: An autonomous sonar system and method provide an arrangement capable of beamforming in three dimensions, detecting loud targets, adaptively beamforming in three dimensions to avoid the loud targets, detecting quiet targets, localizing the loud or quiet targets in range, bearing, and depth, detecting modulation of noise associated with propellers of the loud or quiet targets, generating three dimensional tracks of the loud or quiet targets in bearing, range and depth, making classification of the loud or quiet targets, assigning probabilities to the classifications, and generating classification reports according to the classifications for communication to a receiving station, all without human assistance.

Abstract: Systems and methods for detection and analysis of amplitude modulation of underwater sound employ a product of a time delayed first electrical signal with a second electrical signal to generate a summed-product signal. The time delayed first electrical signal and the second electrical signal have an amplitude modulation indicative of characteristics of a vessel propeller. The summed-product signal is analyzed to detect a vessel and to determine the characteristics of the vessel propeller. In some arrangements a plurality of summed-product signals are analyzed to also determine a depth of the detected vessel.

Abstract: In one aspect, a method to determine multipath angles of arrival includes performing an autocorrelation on a first signal received at a first received beam from a signal source, performing a cross-correlation between the first signal and a second signal received at a second receive beam from the signal source, and determining an angle of arrival for a first path from the signal source and an angle of arrival for a second path from the signal source based on the autocorrelation and the cross-correlation.

Abstract: A to method and system provide a range and depth localization of a passive sound generator, e.g., a submarine target. The method and system use an autocorrelation and/or a cross correlation to arrive at a plurality of range versus depth estimates, which are resolved and evaluated using likelihood factors in order to provide a range and depth localization.

Abstract: A to method and system provide a range and depth localization of a passive sound generator, e.g., a submarine target. The method and system use an autocorrelation and/or a cross correlation to arrive at a plurality of range versus depth estimates, which are resolved and evaluated using likelihood factors in order to provide a range and depth localization.