Adaptive beamforming in ad-hoc sensor network in the presence of interference sources

In adaptive beamforming, the beam produced by sensor network is cumulative result of all sensors in that network. To use beamforming in sensor network phase synchronization and delay synchronizations are the important parameters that are need to be addressed. In this paper we propose an adaptive algorithm that achieves phase synchronization to produce collaborative beamforming in presence of noise and interference in sensor network. Results show that adaptive filter is computationally efficient, works in presence of noise and operates in the environment when the actual beam pattern is known at the receiver side. It has also been noted that filter produces output that is very near to its optimum value. It is also shown that when the number of sensors is increased then the noise power at the receiver is decreased. The interference power depends upon the ratio between the number of sensors and number of interference sources.