Evidence map›Paper›PMID 33401640›Full record

ArticleSensors (Basel, Switzerland)2021

Two-Stage Fast DOA Estimation Based on Directional Antennas in Conformal Uniform Circular Array.

Yao Xie, Mo Huang, Yuanyuan Zhang, Tao Duan, Changyuan Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Article
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  5. Review
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

5 authors.

Yao XieInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0001-6288-8541
Mo HuangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Yuanyuan ZhangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
Tao DuanInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0002-3576-2430
Changyuan WangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.ORCID 0000-0001-9038-0278

Funding

the Science and Technology on Near-Surface Detection Laboratory TCGZ2018A001
6 · The paper itself

Abstract

In conformal array radar, due to the directivity of antennas, the responses of the echo signals between different antennas are distinct, and some antennas cannot even receive the target echo signal. These phenomena significantly affect the accuracy of direction-of-arrival (DOA) estimation. To implement accurate DOA estimation in a conformal uniform circular array (UCA) composed of directional antennas, the two-stage fast DOA estimation algorithm is proposed. In the pre-processing stage, multi-target decoupling and target detection are mainly used to obtain the targets' range bin indexes set; in the rough-precise DOA estimation stage, the amplitude and phase information of each antenna are used for rough DOA estimation and precise DOA estimation, respectively. Based on simulation and actual anechoic chamber radar experiments, and through quantitative analyses of the accuracy, validity and elapsed time of the two-stage fast DOA estimation algorithm compared with the directional antenna MUSIC (DA-MUSIC), sub-array MUSIC (S-MUSIC) and Capon-like algorithms, results indicate that the two-stage fast DOA estimation algorithm can rapidly and accurately estimate DOAs in a multi-target scenario without the range-angle pair-matching procedure. Lower computational complexity and superior estimation accuracy provide the two-stage fast DOA estimation algorithm a broader application prospect in the practical engineering field.

Indexed as

conformal UCAdecoupledirectional antennadirection-of-arrival (DOA)multi-targettwo-stage

Identifiers

PMID33401640
PMCPMC7795244

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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.