Modified rotational signal subspace algorithm
Zohreh Ebadi, Shahriar Shirvani Moghaddam · 2017
By investigating general covariance matrices for wideband signals, it was observed that this matrix is similar to covariance matrix of coherent narrowband signals. Therefore, in this paper, a transformation matrix is used for constructing a new general covariance matrix. The proposed algorithm is based on a new general covariance matrix which is named as enhanced Rotational Signal Subspace algorithm. The effectiveness of the proposed algorithm is compared to conventional ones in terms of probability of resolution and root mean square error for different signal to noise ratios and the angular difference between two sources. Simulation results indicate that the proposed algorithm outperforms Rotational Signal Subspace algorithm. In addition, the proposed algorithm has less computational complexity compared to Focused Khatri Rao-Rotational Signal Subspace algorithm and their performance is almost the same.