f Separation of Multiple Interfering Sources in Wireless Communications from a Geophysical Perspective

Redundancy in array processing enables the separation of multiple correlated signals. In wireless communications, the adoption of multiple antennas has increased the spectrum efficiency by enabling the transmission of high data-rate over limited spectrum allocations. Over the last decade, one of the most disruptive innovation in wireless communications has been the revisiting of multiple antennas communications as Multiple Input Multiple Output (MIMO) system (Paulraj et al, 2004). There is such a strong parallelism between the array processing adopted in wireless communication systems and seismic acquisition and processing that in depth investigations of the communalities can only be beneficial. Seismic acquisition for simultaneous sources can be modelled as MIMO system when accounting signals from multiple receivers. In this paper we introduce the MIMO modelling and processing algorithms to show that MIMO processing tools can be transferred and tailored for acquisitions of simultaneous sources with minimal efforts in the model abstractions.