Real Time Direction of Arrival Estimation in Noisy Environment Using Particle Swarm Optimization with Single Snapshot

In this study, we propose a method based on Particle Swarm Optimization for estimating Direction of Arrival of sources impinging on uniform linear array in the presence of noise. Mean Square Error is used as a fitness function which is optimum in nature and avoids any ambiguity among the angles that are supplement to each others. Multiple sources have been taken in the far field of the sensors array. In Case-I the sources are assumed to be far away from each other whereas, in case-II they are assumed to be close enough to each other. The reliability and effectiveness of this proposed algorithm is tested on the bases of comprehensive statistical analysis. The proposed algorithm require single snapshot and can be applied in real time situation.