Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions

被引:62
作者
Liu, Wei [1 ]
Haardt, Martin [2 ]
Greco, Maria S. [3 ]
Mecklenbraeuker, Christoph F. [4 ]
Willett, Peter [5 ]
机构
[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, England
[2] Ilmenau Univ Technol, Commun Res Lab, D-98684 Ilmenau, Germany
[3] Univ Pisa, Dept Informat Engn, I-56122 Pisa, Italy
[4] TU Wien, Inst Telecommun, A-1040 Vienna, Austria
[5] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
基金
英国工程与自然科学研究理事会;
关键词
Location awareness; Array signal processing; Machine learning; Parallel processing; MIMO; IEEE activities; Optimization; OF-ARRIVAL ESTIMATION; SOURCE LOCALIZATION; MASSIVE MIMO; DESIGN; RECONSTRUCTION; RADAR; CONFIGURATIONS; OPTIMIZATION; PERSPECTIVE; COMPLEXITY;
D O I
10.1109/MSP.2023.3258060
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC). The main technological advances in five SAM subareas made in the past 25 years are then presented in detail, including beamforming, direction-of-arrival (DOA) estimation, sensor location optimization, target/source localization based on sensor arrays, and multiple-input multiple-output (MIMO) arrays. Six recent developments are also provided at the end to indicate possible promising directions for future SAM research, which are graph signal processing (GSP) for sensor networks; tensor-based array signal processing, quaternion-valued array signal processing, 1-bit and noncoherent sensor array signal processing, machine learning and artificial intelligence (AI) for sensor arrays; and array signal processing for next-generation communication systems.
引用
收藏
页码:80 / 91
页数:12
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