High-resolution Two-dimensional Direction Finding For Uniform Circular Array

This paper concerns the application of multiple signal classification (MUSIC) and maximum likelihood (ML) techniques to the joint azimuthal and elevational directions-of-arrival (AEDOA) estimation with a uniform circular array. The deterministic and the random source signal models are used. Computer simulations and theoretical predictions are provided to compare the MUSIC and ML performance. It is shown that the unconditional ML method outperforms the deterministic ML method, which in turn outperforms the MUSIC method.