NDLI: Finite data performance of MUSIC and minimum norm methods

Content Provider	IEEE Xplore Digital Library
Author	Srinivas, K.R. Reddy, V.U.
Copyright Year	1965
Abstract	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 previously (1989, 1991). Computer simulations are used to verify the closeness between the predicted and simulated values of the MSE.<>
Starting Page	161
Ending Page	174
Page Count	14
File Size	1142358
File Format	PDF
ISSN	00189251
Volume Number	30
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiple signal classification Sensor arrays Direction of arrival estimation Computer simulation Data analysis Signal analysis Performance analysis Sensor phenomena and characterization Performance gain Mean square error methods
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Aerospace Engineering

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