2007-12-23["PIER_181_24111001.png","PIER_182_25012003.png","PIER_183_25052305.png","other\/special_issue_13.png"]
The m-DSO-ESPRIT Method for Maximum Likelihood DOA Estimation
By Leonardo Lizzi
Federico Viani
Manuel Benedetti
Paolo Rocca
Andrea Massa
Progress In Electromagnetics Research, Vol. 80, 477-497, 2008
Abstract
The estimation of the directions-of-arrival (DoAs) of multiple signals is a topic of great relevance in smart antenna synthesis and signal processing applications. In this paper, a memory-based method is proposed to compute the maximum likelihood (ML) DoA estimates. Such a conceptually-simple technique is based on the datasupported optimization (DSO) and the estimation of signal parameters via rotational invariance technique (ESPRIT), but fully exploits a memory mechanism for improving the estimation accuracy especially when dealing with critical scenarios characterized by low signal-tonoise ratios (SNR) or/and small number of snapshots. Simulation results assess the potentialities and limitations of the proposed approach that favorably compares with state-of-the-art methods.