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   Articles with "doa estimation" as a keyword



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V-Shaped Sparse Arrays for 2-D DOA Estimation

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recommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-018-0991-5

Abstract: This paper proposes a new sparse array geometry for 2-D (azimuth and elevation) direction-of-arrival (DOA) estimation. The proposed array geometry is V-shaped sparse array, and it is composed of two linear portions which are crossing… read more here.

Keywords: sparse array; geometry; doa estimation; shaped sparse ... See more keywords
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Multi-step Knowledge-Aided Iterative Conjugate Gradient Algorithms for DOA Estimation

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recommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-019-01033-0

Abstract: In this work, we present direction-of-arrival (DoA) estimation algorithms based on the Krylov subspace that effectively exploit prior knowledge of the signals that impinge on a sensor array. The proposed multi-step knowledge-aided iterative conjugate gradient… read more here.

Keywords: step knowledge; multi step; knowledge aided; doa estimation ... See more keywords
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An Efficient Method for Resolving Ambiguity in DOA Estimation with Coprime Linear Array

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recommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-021-01887-3

Abstract: In the direction-of-arrival (DOA) estimation with a coprime linear array, the ambiguity problems such as pair matching and grating angle have been investigated. In the ambiguity problem situation, the estimation reliability and accuracy of the… read more here.

Keywords: coprime linear; doa estimation; estimation; estimation coprime ... See more keywords
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DOA Estimation Using Coprime Array in the Presence of Unknown Nonuniform Noise

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recommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-021-01920-5

Abstract: In this paper, we design an effective algorithm for direction-of-arrival (DOA) estimation using the coprime array in the presence of unknown nonuniform noise. Firstly, we replace the diagonal entries of the array covariance matrix with… read more here.

Keywords: array; estimation using; using coprime; coprime array ... See more keywords
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2D DOA estimation for noncircular sources using L-shaped sparse array

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recommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-016-0402-7

Abstract: We present an algorithm for two-dimensional (2D) direction-of-arrival (DOA) estimation of noncircular sources using an L-shaped sparse array. An L-shaped sparse array consisting of two co-prime arrays is firstly introduced. Then, the fourth-order-cumulants (FOCs) of… read more here.

Keywords: estimation; estimation noncircular; shaped sparse; sparse array ... See more keywords
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Subspace extension algorithm for 2D DOA estimation with L-shaped sparse array

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recommendations! Published in 2017 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-016-0406-3

Abstract: A subspace extension algorithm for two-dimensional (2D) direction-of-arrival (DOA) estimation with an L-shaped array is proposed. This L-shaped array is comprised of two orthogonal sparse linear arrays (SLAs). Each SLA consists of two different uniform… read more here.

Keywords: subspace extension; doa estimation; subspace; extension algorithm ... See more keywords
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DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance

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recommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-016-0425-0

Abstract: Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional… read more here.

Keywords: estimation; rula; linear array; uniform linear ... See more keywords
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Direction of arrival (DOA) estimation with extended optimum co-prime sensor array (EOCSA)

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recommendations! Published in 2021 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-021-00787-8

Abstract: In this study we propose a novel sparse antenna array and suitable beamforming algorithm in order to decrease the number of antennas in large-scale antenna systems (LSASs) and achieving the performance of a dense antenna… read more here.

Keywords: doa estimation; array; geometry; eocsa ... See more keywords
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A study of compressed sensing single-snapshot DOA estimation based on the RIPless theory

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recommendations! Published in 2020 at "Telecommunication Systems"

DOI: 10.1007/s11235-020-00676-8

Abstract: We explore the RIPless theory for the analysis of single snapshot DOA estimation with uniform linear array using the compressed sensing technique. Starting with a sparse signal recovery model constructed for single snapshot DOA estimation,… read more here.

Keywords: estimation; ripless theory; snapshot doa; doa estimation ... See more keywords
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Two-Step Sparse Representation Based 2D DOA Estimation with Single Moving Acoustic Vector Sensor

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recommendations! Published in 2020 at "Wireless Personal Communications"

DOI: 10.1007/s11277-019-07003-8

Abstract: This paper investigates the two dimensional direction of arrival (2D DOA) estimation problem of multiple sources with one single moving acoustic vector sensor (AVS). We first use one single moving AVS to construct a synthetic… read more here.

Keywords: vector; single moving; estimation; array ... See more keywords
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Wideband DOA estimation based on focusing signal subspace

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recommendations! Published in 2019 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-018-1396-4

Abstract: The traditional wideband direction-of-arrival (DOA) estimation algorithms usually require the preliminary DOA estimations, which determine the accuracy of the final DOA estimations. To remedy the apparent performance degradation, this paper introduces a novel direction-of-arrival (DOA)… read more here.

Keywords: signal subspace; focusing signal; doa; subspace ... See more keywords