scispace - formally typeset
Proceedings ArticleDOI

Element position considerations for robust direction finding using sparse arrays

Mats Viberg, +1 more
- Vol. 2, pp 835-839
Reads0
Chats0
TLDR
This paper re-examines the use of the Dolph-Chebyshev criterion for selecting the element positions and finds that at least what concerns the MUSIC algorithm, a small main-lobe area is more important than low sidelobe levels.
Abstract
Estimating the directions to incoming signals using an array of sensors is of interest in a wide range of applications. A uniform sensor spacing is most often assumed. However, arrays employing a sparse spatial sampling make more efficient use of a given number of sensors. This paper re-examines the use of the Dolph-Chebyshev criterion for selecting the element positions. A simplified implementation is proposed. The array design is linked to estimation performance by a numerical example. It is found that at least what concerns the MUSIC algorithm, a small main-lobe area is more important than low sidelobe levels. This remains true even in scenarios with many signals of different power levels present.

read more

Citations
More filters
Journal ArticleDOI

Cramer-Rao bounds for antenna array design

TL;DR: The array design problem is simplified by limiting the array search within a family of V-shaped arrays that are advantageously characterized by a single parameter, the angle between the two branches.
Journal ArticleDOI

Optimum Ambiguity-Free Directional and Omnidirectional Planar Antenna Arrays for DOA Estimation

TL;DR: This paper studies the antenna array geometry impact on both direction of arrival (DOA) estimation accuracy and array rank ambiguity and derives asymptotic performance measures that apply for large sized arrays where exhaustive search is unaffordable.
Journal ArticleDOI

Sparse Antenna Array Design for MIMO Active Sensing Applications

TL;DR: This work proposes a cyclic approach to MIMO transmit array design that can be used to approximate desired transmit beampatterns and illustrates how this iterative approach can be adapted to design sparse receive antenna arrays using both vector and matrix weighting techniques.
Proceedings ArticleDOI

Optimization of element positions for direction finding with sparse arrays

TL;DR: The ambiguity threshold of the Weiss-Weinstein bound (1985) is used to optimize the element positions of a sparse linear array and the array obtained is compared with some other sparse array structures that have been proposed in the literature.
Journal ArticleDOI

Computation of spectral and root MUSIC through real polynomial rooting

TL;DR: A technique to compute the Spectral and (Unitary) Root MUSIC estimations from the roots of a real polynomial in the problem of estimating the angles of arrival to a Uniform Linear Array.
References
More filters
Journal ArticleDOI

Multiple emitter location and signal parameter estimation

TL;DR: In this article, a description of the multiple signal classification (MUSIC) algorithm, which provides asymptotically unbiased estimates of 1) number of incident wavefronts present; 2) directions of arrival (DOA) (or emitter locations); 3) strengths and cross correlations among the incident waveforms; 4) noise/interference strength.
Journal ArticleDOI

Two decades of array signal processing research: the parametric approach

TL;DR: The article consists of background material and of the basic problem formulation, and introduces spectral-based algorithmic solutions to the signal parameter estimation problem and contrast these suboptimal solutions to parametric methods.
Journal ArticleDOI

Detection of signals by information theoretic criteria

TL;DR: Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.
Journal ArticleDOI

MUSIC, maximum likelihood, and Cramer-Rao bound

TL;DR: The Cramer-Rao bound (CRB) for the estimation problems is derived, and some useful properties of the CRB covariance matrix are established.
Journal ArticleDOI

Performance study of conditional and unconditional direction-of-arrival estimation

TL;DR: It is shown that many DOA estimation methods have the same asymptotic statistical properties under conditional and unconditional models.
Related Papers (5)