Evidence map›Paper›PMID 29140313›Full record

ArticleSensors (Basel, Switzerland)2017

A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems.

Mohammed A G Al-Sadoon, Nazar T Ali, Yousf Dama, Abdulkareim Zuid, Stephen M R Jones, Raed A Abd-Alhameed, James M Noras

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohammed A G Al-SadoonSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK. M.A.G.Al-Sadoon@bradford.ac.uk.
Nazar T AliSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK. s.m.r.jones@bradford.ac.uk.ORCID 0000-0003-2991-9451
Yousf DamaSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK. J.M.Noras@bradford.ac.uk.ORCID 0000-0002-4102-432X
Abdulkareim ZuidSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK. kareimzweid@gmail.com.
Stephen M R JonesSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK.
Raed A Abd-AlhameedSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK. R.A.A.Abd@bradford.ac.uk.ORCID 0000-0003-2972-9965
James M NorasSchool of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a new low complexity angle of arrival (AOA) method for signal direction estimation in multi-element smart wireless communication systems. The new method estimates the AOAs of the received signals directly from the received signals with significantly reduced complexity since it does not need to construct the correlation matrix, invert the matrix or apply eigen-decomposition, which are computationally expensive. A mathematical model of the proposed method is illustrated and then verified using extensive computer simulations. Both linear and circular sensors arrays are studied using various numerical examples. The method is systematically compared with other common and recently introduced AOA methods over a wide range of scenarios. The simulated results show that the new method has several advantages in terms of reduced complexity and improved accuracy under the assumptions of correlated signals and limited numbers of snapshots.

Indexed as

angles of arrival (AOAs)computational complexitycovariance matrixdirect data acquisition (DDA)direction estimationmultiple input multiple output (MIMO)smart antennaswireless communication systems

Identifiers

PMID29140313
PMCPMC5713173

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.