Enhanced fast DOA algorithm through shrinking signal subspace and noise pseudo eigenvector using forward-backward method

The efficiency of the smart antennas greatly relies on the correctness and quickness of direction of arrival (DOA) estimation. This paper provides an enhanced approach for estimating direction of arrival through shrinking signal subspace and noise pseudo eigenvector using forward-backward method for real-time applications in non-stationary environment. Our proposed algorithm gives enhanced performance than Kim's method in terms of resolution by detecting uncorrelated and coherent signal simultaneously. The proposed algorithm does not require prior knowledge of incoming signal and formation of covariance matrix. Thus it reduces computational complexity in comparison to other algorithms. The simulation shows that our proposed technique has improved the performance in terms of single snap shot and can be applied in real-time application for non-stationary sources.