Evidence map›Paper›PMID 37896495›Full record

ArticleSensors (Basel, Switzerland)2023

Multi-Objective NSGA-II Optimization for Broadband Beamforming with Spherical Harmonic Domain Assistance.

Zhenghong Liu, Haocheng Zhou, Xiyu Song, Mei Wang, Liuqing Weng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zhenghong LiuSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.
Haocheng ZhouSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.
Xiyu SongSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0000-0003-4053-4528
Mei WangSchool of Information Science & Engineering, Guilin University of Technology, Guilin 541006, China.
Liuqing WengSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China.ORCID 0000-0002-3935-4100

Funding

Project from the Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education CRKL200111the National Natural Science Foundation of China No.62071135 No.62201163
6 · The paper itself

Abstract

Sidelobe suppression is a major challenge in wideband beamforming for acoustic research, especially in high noise and reverberation environments. In this paper, we propose a multi-objective NSGA-II wideband beamforming method based on a spherical harmonic domain for spherical microphone arrays topology. The method takes white noise gain, directional index and maximum sidelobe level as the optimization objectives of broadband beamforming, adopts the NSGA-II optimization strategy with constraints to estimate the Pareto optimal solution, and provides three-dimensional broadband beamforming capability. Our method provides superior sidelobe suppression across different spherical harmonic orders compared to commonly used multi-constrained single-objective optimal beamforming methods. We also validate the effectiveness of our proposed method in a conference room setting. The proposed method achieves a white noise gain of 8.28 dB and a maximum sidelobe level of -23.42 dB at low frequency, while at high frequency it yields comparable directivity index results to both DolphChebyshev and SOCP methods, but outperforms them in terms of white noise gain and maximum sidelobe level, measuring 16.14 dB and -25.18 dB, respectively.

Indexed as

array processingmulti-objective optimizationpareto-optimalsidelobe suppressionwhite noise gain

Identifiers

PMID37896495
PMCPMC10611246

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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.