With increased computational power and evolution of compact device technology, sensor arrays are being used in hand held devices like mobile phones to large scale defense equipments. This is because compared to single channel signal processing methods, high interference suppression can be obtained using an array. The spatial information of a sound source is captured using array geometry. The additional information can be used for tracking and/or beamforming. The beamforming capabilities of a sensor array is fundamental to many civilian applications and defence system. Some of the civilian applications include acoustic scene analysis, speech separation, distant speech recognition, surveillance, assisted living environments and hands-free communication. A great deal of attention has been given to space-time adaptive processing (STAP) algorithms and design of space-time beamformers to mitigate the effect of clutter and jamming in defence applications. In Array Signal Processing domain, the current research focus are :

  • Source localization and tracking
  • Beamforming
  • Time-frequency Analysis
  • Blind Source Separation
  • Biomedical Signal Processing
  • Speech, Music and Acoustic Signal Processing

Research Labs

A fully equipped digital signal processing lab is present. Multichannel signal processing (MSP) lab is currently being developed.


We have anechoic chamber for free field experiments.


Boaz Rafaely

Department of Electrical and Computer Engineering 
Ben-Gurion University of the Negev
Beer-Sheva 84105, Israel