Comparative study of IQML and MODE direction-of-arrival estimators

Author

Li, Jian ; Stoica, Petre ; Liu, Zheng-She

Author_Institution

Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA

Volume

46

Issue

1

fYear

1998

fDate

1/1/1998 12:00:00 AM

Firstpage

149

Lastpage

160

Abstract

We present a comparative study of using the iterative quadratic maximum likelihood (IQML) and the method of direction estimation (MODE) for direction-of-arrival (DOA) estimation of narrowband incident signals with a uniform linear array. The conditions for local convergence and the theoretical performance of IQML are derived. Although the DOA estimates obtained via MODE are asymptotically statistically efficient, we show that those obtained via IQML are almost always inconsistent and have (much) larger mean squared errors. We also show that the amount of computations required by IQML is usually much larger than that required by MODE, especially for low signal-to-noise ratio (SNR) and a large number of snapshots

Keywords

array signal processing; convergence of numerical methods; direction-of-arrival estimation; iterative methods; maximum likelihood estimation; DOA estimation; IQML; MODE; direction-of-arrival estimators; iterative quadratic maximum likelihood; local convergence; mean squared error; method of direction estimation; narrowband incident signals; snapshots; theoretical performance; uniform linear array; Computational complexity; Convergence; Covariance matrix; Data models; Direction of arrival estimation; Maximum likelihood estimation; Narrowband; Sensor arrays; Signal processing; Signal to noise ratio;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.651203

Filename

651203