NDLI: Steering vector estimation in uncalibrated arrays

Content Provider	IEEE Xplore Digital Library
Author	Ching-Yih Tseng Feldman, D.D. Griffiths, L.J.
Copyright Year	1991
Abstract	This paper presents an iterative algorithm for estimating the signal steering vectors and associated power levels received by an array of uncalibrated isotropic sensors. The inputs are assumed to consist of narrowband, uncorrelated directional signals in the presence of additive white noise. An iterative algorithm is employed to successively search for estimates that simultaneously satisfy a signal subspace and an orthogonality condition. These conditions are shown to be both necessary and sufficient for identification of the underlying steering vectors in the case when the data covariance matrix is known exactly, i.e. for the case of infinite data observation. The iterative method employs minimum distance criterion (projections) to successively map the solution between three constraint sets until a stable point is determined. Two examples are presented which illustrate the application of the algorithm in direction finding and beamforming.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	1397
Ending Page	1412
Page Count	16
File Size	1540390
File Format	PDF
ISSN	1053587X
Volume Number	43
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Signal processing algorithms Multiple signal classification Iterative algorithms Sensor arrays Vectors Narrowband Additive white noise Array signal processing Phased arrays
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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