Paper
15 December 2023 A broadband deconvolution beamforming acceleration method
Zheng Zhang, Yanyu Chen
Author Affiliations +
Proceedings Volume 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023); 129710F (2023) https://doi.org/10.1117/12.3017696
Event: Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023, Changchun, China
Abstract
To solve the problem that the traditional deconvolution beamforming algorithm is too computative when processing wideband random signals, an accelerated method of wideband deconvolution beamforming is proposed. According to the characteristics of the array beam pattern, the wideband random signal is divided into multiple narrow bands with non-equal spacing in frequency dimension, and deconvolution beamforming is performed in each narrow band to reduce the deconvolution computation. By means of boundary extension on the beam power spectrum, the boundary ambiguity problem is solved and the computational cost of deconvolution beamforming is further reduced. The simulation and sea test data verify that the proposed method has higher resolution and processing gain than conventional beamforming. The speed of deconvolution beamforming is more than 50% higher than that of conventional deconvolution beamforming.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zheng Zhang and Yanyu Chen "A broadband deconvolution beamforming acceleration method", Proc. SPIE 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023), 129710F (15 December 2023); https://doi.org/10.1117/12.3017696
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KEYWORDS
Deconvolution

Spatial filtering

Point spread functions

Engineering

Detection and tracking algorithms

Signal processing

Target detection

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