Test out how well MUSIC can handle differences in amplitude. These involve two tests:
How the algorithm can handle amplitudes other than 1 (in theory, this should be handled pretty well)
How well can the algorithm handle CROSS-CHANNEL amplitude variations?
You can create a new experiment which builds on music/default_music_exp.py
Some things to consider when running the experiment:
If you are sweeping across phi, try it out for various values of theta and vise versa
Try to play around with the MUSIC parameter sweep resolution
Try to play around with different hydrophone geometries* and see which geometries might perform better
Make sure to run it for all four frequencies: 25, 30, 35, 40 kHz (run experiment four separate times with different frequencies)
If you are running into any issues: Message Dvir
The possible hydrophone geometries you should play with should be simple arrays, rectangular prisms, spheres, or Luke's geometry. Luke's geometry is constrained as follows:
The three horizontal (bottom) hydrophones are separated by 14.25 mm in x, (left/right). They can translate between 10-40 mm in z (fwd/bkwd).
The two top hydrophones can translate in x with 20-30 mm of separation, centered about the center hydrophone on the bottom. They 19-35 mm above the center hydrophone.
Test out how well MUSIC can handle differences in amplitude. These involve two tests:
You can create a new experiment which builds on music/default_music_exp.py
Some things to consider when running the experiment:
If you are running into any issues: Message Dvir