Srinivas, KR and Reddy, VU (1994) Finite data performance of MUSIC and minimum norm methods. In: IEEE aerospace and electronic systems magazine, 30 (1). 161 -179 .
finite_data.pdf - Published Version
Restricted to Registered users only
Download (1115Kb) | Request a copy
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient knowledge of array characterization. It is therefore important to study how subspace-based methods perform in such conditions. We analyze the finite data performance of the multiple signal classification (MUSIC) and minimum norm (min. norm) methods in the presence of sensor gain and phase errors, and derive expressions for the mean square error (MSE) in the DOA estimates. These expressions are first derived assuming an arbitrary array and then simplified for the special case of an uniform linear array with isotropic sensors. When they are further simplified for the case of finite data only and sensor errors only, they reduce to the recent results given in [9-12]. Computer simulations are used to verify the closeness between the predicted and simulated values of the MSE.
|Item Type:||Journal Article|
|Additional Information:||Copyright 1994 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||27 May 2011 07:39|
|Last Modified:||27 May 2011 07:39|
Actions (login required)