Abstract:
Beampattern synthesis inspired by adaptive array theory (AAT) has attracted much interest in recent years, thanks to its capability to flexibly and precisely control beam...Show MoreMetadata
Abstract:
Beampattern synthesis inspired by adaptive array theory (AAT) has attracted much interest in recent years, thanks to its capability to flexibly and precisely control beampattern. However, the existing AAT-inspired beampattern synthesis approaches usually assume an ideal array model, which is not realistic in practice and may lead to severe performance degradation in the presence of steering vector errors. In this paper, we propose a robust beampattern synthesis approach for wideband arrays using regularized AAT-inspired weighted least squares (WLS), which can precisely control the worst-case beampattern, including both its mainlobe ripple and sidelobe level, in the presence of steering vector errors. We develop a theory on the solutions for the regularization parameter and weighting function of the regularized AAT-inspired WLS. We propose a Newton-Raphson method to find the solution for the regularization parameter, and derive closed-form solutions for the weighting function. Moreover, we also offer some insight into the effect of steering vector errors on the control of worst-case beampattern. The effectiveness of the proposed algorithm is verified by design examples, including robust synthesis of frequency-invariant and flat-top wideband beampatterns.
Published in: IEEE Transactions on Signal Processing ( Volume: 72)
Funding Agency:
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Congwei Feng received the B.S. and M.S. degrees from Guizhou University, Guiyang, China, in 2015 and 2018, respectively. He is currently working toward the Ph.D. degree in communication and information systems with the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include sensor array signal processing and acoustical signal processing.
Congwei Feng received the B.S. and M.S. degrees from Guizhou University, Guiyang, China, in 2015 and 2018, respectively. He is currently working toward the Ph.D. degree in communication and information systems with the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include sensor array signal processing and acoustical signal processing.View more
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Huawei Chen (Member, IEEE) received the Ph.D. degree in underwater acoustic engineering from the Northwestern Polytechnical University, Xi’an, China, in 2004. In 2004, he joined as a Postdoctoral Researcher with the Institute of Acoustics, Nanjing University, Nanjing, China. From 2005 to 2009, he was a Research Fellow with the Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technolog...Show More
Huawei Chen (Member, IEEE) received the Ph.D. degree in underwater acoustic engineering from the Northwestern Polytechnical University, Xi’an, China, in 2004. In 2004, he joined as a Postdoctoral Researcher with the Institute of Acoustics, Nanjing University, Nanjing, China. From 2005 to 2009, he was a Research Fellow with the Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technolog...View more
Contents College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Congwei Feng received the B.S. and M.S. degrees from Guizhou University, Guiyang, China, in 2015 and 2018, respectively. He is currently working toward the Ph.D. degree in communication and information systems with the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include sensor array signal processing and acoustical signal processing.
Congwei Feng received the B.S. and M.S. degrees from Guizhou University, Guiyang, China, in 2015 and 2018, respectively. He is currently working toward the Ph.D. degree in communication and information systems with the Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include sensor array signal processing and acoustical signal processing.View more
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Huawei Chen (Member, IEEE) received the Ph.D. degree in underwater acoustic engineering from the Northwestern Polytechnical University, Xi’an, China, in 2004. In 2004, he joined as a Postdoctoral Researcher with the Institute of Acoustics, Nanjing University, Nanjing, China. From 2005 to 2009, he was a Research Fellow with the Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Since 2009, he has been a full Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include microphone array signal processing, acoustical and speech signal processing, and statistical and adaptive signal processing. He is an Associate Editor of Circuits, Systems, and Signal Processing.
Huawei Chen (Member, IEEE) received the Ph.D. degree in underwater acoustic engineering from the Northwestern Polytechnical University, Xi’an, China, in 2004. In 2004, he joined as a Postdoctoral Researcher with the Institute of Acoustics, Nanjing University, Nanjing, China. From 2005 to 2009, he was a Research Fellow with the Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Since 2009, he has been a full Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include microphone array signal processing, acoustical and speech signal processing, and statistical and adaptive signal processing. He is an Associate Editor of Circuits, Systems, and Signal Processing.View more
