NDLI: Sparsity-enforcing sensor selection for DOA estimation

Content Provider	IEEE Xplore Digital Library
Author	Roy, V. Chepuri, S.P. Leus, G.
Copyright Year	2013
Description	Author affiliation: Delft Univ. of Technol. (TU Delft), Delft, Netherlands (Roy, V.; Chepuri, S.P.; Leus, G.)
Abstract	The sensitivity of direction-of-arrival (DOA) estimation to different array geometries motivates the design of optimal sensor constellations. We propose a framework for array geometry design for a linear array with fixed aperture and fixed inter-element spacing, where the array geometry design is formulated as a sensor selection problem. The sensor selection is performed such that it achieves a desired Cramér-Rao bound (CRB) for estimating the DOA of a single source. The nonuniformity of the sensor selection typically results in sidelobes. These sidelobes are suppressed in a specified angular sector again via sensor selection. The aforementioned problems are jointly casted as a semidefinite programming (SDP) problem which can be efficiently solved in polynomial time. Simulations exhibit the trade-offs among the number of selected sensors, sidelobe minimization, and CRB of the DOA estimates.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	340
Ending Page	343
File Size	348388
Page Count	4
File Format	PDF
e-ISBN	9781467331463
DOI	10.1109/CAMSAP.2013.6714077
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Direction-of-arrival estimation Estimation Vectors Arrays Optimization
Content Type	Text
Resource Type	Article

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