Direction finding in the presence of coherent signals based on data matrix decomposition
Liao Gui-sheng · Systems engineering and electronics · 2005
A new algorithm for direction finding in the presence of coherent signals is presented. By arranging the sampled data, a special data matrix is constructed. By using correlation vectors to eliminate the noise's influence, the signal subspace estimation is obtained by singular value decomposition (SVD) of the data matrix, then the direction parameters are estimated based on the ESPRIT method. Without spectral peak search and complex computation, the algorithm provides estimates of the directions of arrival (DOA), no matter there are coherent signals or not. The performance of the algorithm is illustrated by computer simulations.