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Optimization Method for Wide Beam Sonar Transmit Beamforming
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL. Saab Dynam, SE-58188 Linköping, Sweden..ORCID iD: 0000-0002-0552-567x
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-4266-6746
Saab Dynam, SE-58188 Linköping, Sweden..
2022 (English)In: Sensors, E-ISSN 1424-8220, Vol. 22, no 19, p. 7526-, article id 7526Article in journal (Refereed) Published
Abstract [en]

Imaging and mapping sonars such as forward-looking sonars (FLS) and side-scan sonars (SSS) are sensors frequently used onboard autonomous underwater vehicles. To acquire information from around the vehicle, it is desirable for these sonar systems to insonify a large area; thus, the sonar transmit beampattern should have a wide field of view. In this work, we study the problem of the optimization of wide transmission beampatterns. We consider the conventional phased-array beampattern design problem where all array elements transmit an identical waveform. The complex weight vector is adjusted to create the desired beampattern shape. In our experiments, we consider wide transmission beampatterns (>= 20 degrees) with uniform output power. In this paper, we introduce a new iterative-convex optimization method for narrowband linear phased arrays and compare it to existing approaches for convex and concave-convex optimization. In the iterative-convex method, the phase of the weight parameters is allowed to be complex as in disciplined convex-concave programming (DCCP). Comparing the iterative-convex optimization method and DCCP to the standard convex optimization, we see that the former methods archive optimized beampatterns closer to the desired beampatterns. Furthermore, for the same number of iterations, the proposed iterative-convex method achieves optimized beampatterns, which are closer to the desired beampattern than the beampatterns achieved by optimization with DCCP.

Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 22, no 19, p. 7526-, article id 7526
Keywords [en]
autonomous underwater vehicles, sonar, phased antenna arrays, transmit beamforming, convex optimization, beampattern, side-scan sonar, forward-looking sonar, seabed mapping
National Category
Computer Vision and Robotics (Autonomous Systems) Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-320686DOI: 10.3390/s22197526ISI: 000867028100001PubMedID: 36236625Scopus ID: 2-s2.0-85139948286OAI: oai:DiVA.org:kth-320686DiVA, id: diva2:1707242
Note

QC 20221031

Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2022-10-31Bibliographically approved

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Rixon Fuchs, LouiseMaki, Atsuto

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