Project's goal - TheftO/MicArray GitHub Wiki

#Introduction#

A sensor array is a group of sensors, usually deployed in a certain geometry pattern, used for collecting and processing electromagnetic or acoustic signals. The advantage of using a sensor array over using a single sensor lies in the fact that an array adds new dimensions to the observation, helping to estimate more parameters and improve the estimation performance. For example an array of radio antenna elements used for beamforming can increase antenna gain in the direction of the signal while decreasing the gain in other directions, i.e., increasing signal-to-noise ratio (SNR) by amplifying the signal coherently. Another example of sensor array application is to estimate the direction of arrival of impinging electromagnetic waves. The related processing method is called Array Signal Processing. Application examples of array signal processing include radar/sonar, wireless communications, seismology, machine condition monitoring, astronomical observations fault diagnosis, etc.

Using array signal processing, the temporal and spatial properties (or parameters) of the impinging signals interfered by noise and hidden in the data collected by the sensor array can be estimated and revealed. This is known as parameter estimation.

#Goals#

There are different methods of processing information acquired from sensor array. Goal of this project is to test and compare different algorithms and methods of sensor array processing to find which of them are better. In this project used microphone array, particular case of sensor array.

List of compared algorithms:

• Delay-Sum
• Weighted Delay-Sum
• Null
• ILSE
• GHDSS

They was compared with and without postprocessing.