Simulate an active monostatic sonar scenario with two targets. The sonar system consists of an isotropic projector array and a single hydrophone element. The projector array is spherical in shape. The backscattered signals are received by the hydrophone. The received signals include both direct and multipath contributions.

Simulate a passive sonar system. A stationary underwater acoustic beacon is detected and localized by a towed passive array in a shallow-water channel. The acoustic beacon transmits a 10 millisecond pulse at 37.5 kilohertz every second, and is modeled as an isotropic projector. The locator system tows a passive array beneath the surface, which is modeled as a uniform linear array. Once the acoustic beacon signal is detected, a direction of arrival estimator is used to locate the beacon.

Visualize a four-element ULA with cardioid microphone elements.

Perform conventional time-delay beamforming with 10-element ULA.

Illustrates microphone array beamforming to extract desired speech signals in an interference-dominant, noisy environment. Such operations are useful to enhance speech signal quality for perception or further processing. For example, the noisy environment can be a trading room, and the microphone array can be mounted on the monitor of a trading computer. If the trading computer must accept speech commands from a trader, the beamformer operation is crucial to enhance the received speech quality and achieve the designed speech recognition accuracy.

Determine the position of the source of a wideband signal using generalized cross-correlation (GCC) and triangulation. For simplicity, this example is confined to a two-dimensional scenario consisting of one source and two receiving sensor arrays. You can extend this approach to more than two sensors or sensor arrays and to three dimensions.

Beamform signals received by an array of microphones to extract a desired speech signal in a noisy environment. This Simulink® example is based on the MATLAB® example Acoustic Beamforming Using a Microphone Array for System objects.

Use differential beamforming to form a linear differential microphone array.

How an audio beamforming system simulation model in Simulink® can have improved performance using dataflow domain. It uses the dataflow domain in Simulink to automatically partition the data-driven portions of the communications system into multiple threads and thereby improving the performance of the simulation by executing it on your desktop's multiple cores.

Plot responses of a microphone element and an array of microphone elements.