Title :
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
fDate :
1/1/1998 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
