MovingPointSource¶

class acoular.sources.MovingPointSource¶

Bases: PointSource

Define a moving point source emitting a signal.

The MovingPointSource class models a sound source that follows a specified trajectory while emitting a signal. This allows for the simulation of dynamic acoustic scenarios, e.g. sources changing position over time such as vehicles in motion.

See also

acoular.sources.PointSource

For modeling stationary point sources.

acoular.trajectory.Trajectory

For specifying source motion paths.

conv_amp = Bool(False, desc='determines if convective amplification is considered')¶

Determines whether convective amplification is considered. When True, the amplitude of the signal is adjusted based on the relative motion between the source and microphones. Default is False.

trajectory = Instance(Trajectory, desc='trajectory of the source')¶

Instance of the Trajectory class specifying the source’s motion. The trajectory defines the source’s position and velocity at any given time.

prepadding = Enum('loop', desc='Behaviour for negative time indices.')¶

Behavior of the signal for negative time indices. Currently only supports 'loop'. Default is 'loop'.

digest = Property( …¶

A unique identifier for the current state of the source, based on its properties. (read-only)

result(num=128)¶

Generate the output signal at microphones in blocks, accounting for source motion.

The result() method provides a generator that yields blocks of the signal received at microphones. It incorporates the source's trajectory, convective amplification (if enabled), and environmental propagation effects.

Parameters:

numint, optional

Number of samples per block to be yielded. Default is 128.

Yields:

numpy.ndarray

A 2D array of shape (num, num_channels) containing the signal detected at the microphones. The last block may have fewer samples if num_samples is not a multiple of num.

Raises:

IndexError

If no more samples are available from the signal source.

Notes

• The method iteratively solves for the emission times of the signal at each microphone using the Newton-Raphson method.

• Convective amplification is applied if conv_amp = True, modifying the signal’s amplitude based on the relative motion between the source and microphones.

• The signal’s emission time is calculated relative to the trajectory’s position and velocity at each step.