Comparison of model order selection techniques for high-resolution parameter estimation algorithms

In sensor array processing it is often required to know the number of signals received by an antenna array, since in practice only a limited number of observations is available. Robust techniques for the estimation of the model order are needed. In this paper, we propose general application rules for the most recent model order selection techniques in the literature considering different one-dimensional scenarios. Other important contributions are a more general and improved form of the modified exponen-tial fitting test (M-EFT) and extensions of other known model order selection techniques for the case that the number of sensors is greater than the number of snap-shots