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A low-complexity 2-D DOA estimation method for incoherently distributed sources

Authors: Qingqing Lin; Ping Shuai; Liangwei Huang;

A low-complexity 2-D DOA estimation method for incoherently distributed sources

Abstract

The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (ULAs). This method derives the approximation of three received ULA vectors under small angular extension from first-order Taylor approximation. The derived vector approximations are rotationally invariant, which enables one to estimate 2-D DOAs of ID sources via propagator. This procedure is more efficient because no multidimensional search or eigen-decomposition is needed. Simulation results testify to the performance of the proposed method.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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