Maximum Likelihood Algorithm for Direction-of-arrival Estimation of Noncircular Signals
Jian Liu · Modern Radar · 2011
Most of the existing algorithms for DOA estimation of noncircular signals belong to the subspace eigenvalue decomposition algorithm,such as NC-MUSIC algorithm and NC-ESPRIT algorithm.Algorithms for DOA estimation of noncircular signals based on subspace fitting haven't been researched very much.According to the data mode for DOA estimation based on noncircular signals,a maximum likelihood algorithm for DOA estimation of noncircular signals is proposed in the paper.The comparison between the NC-ML algorithm and the conventional ML algorithm is presented based on the computer emulation.And the same comparison is presented between the NC-ML algorithm and the NC-MUSIC algorithm.The efficacy shows that the NC-ML algorithm improves the estimation capacity.This algorithm can play an important role in the situation which is having lots of users and requiring high estimation precision.