A low computational complexity ESPRIT method
Linrang Zhang · Journal of Xidian University · 2005
A low computational complexity ESPRIT method is developed to fast estimate the direction-arrival (DOA) for statistically independent signals. The novel method exploits the training sequences of a desired signal to extract all the directional parameters of the signals and interferences. The proposed method does not need to form the sample covariance matrix or compute its eigenvectors, thus indicating much lower computational complexity. Finally, the effectiveness of the presented approach is verified by numerical results.