基于 Wavenumber Spectrum Fusion 的实感孔径成像系统离焦速度改进型成像技术

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
WenRui Zhang;ShiYou Wu;YiCai Ji;Chao Li;GuangYou Fang
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引用次数: 0

摘要

这封信介绍了一种用于离焦成像的真实孔径 MIMO 系统的速度改进型成像技术。现有的离焦成像算法需要大量插值并依赖于传统的频域反投影算法(FDBPA),因此耗费大量时间。为解决其局限性,采用最小二乘法(LS)将非分析性单程历史函数拟合为二阶多项式函数。MIMO 阵列和接收到的宽带啁啾信号都被细分为多个子阵列和子波段,利用 FDBPA 重建低分辨率图像。这些低分辨率图像的波谱是带限的,因此可以将它们组合起来得到全局高分辨率图像。模拟和实验证实了所提出的 Fusion-BPA 技术的有效性。这是一种处理非线性场景成像问题的先进快速算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speed-Improved Off-Focus Imaging Technique for Real-Aperture Imaging System Based on Wavenumber Spectrum Fusion
This letter introduces a speed-improved imaging technique for a real-aperture MIMO system engaged in off-focus imaging. The existing off-focus imaging algorithm is time-intensive due to the extensive interpolation and reliance on traditional frequency-domain back-projection algorithms (FDBPA). To address its limitation, the least squares (LS) method is used to fit the non-analytical single-trip history function into a second-order polynomial function. Both MIMO array and the wideband received chirp signal are subdivided into multiple sub-arrays and sub-bands to reconstruct the low-resolution images using FDBPA. The wavenumber spectrums of these low-resolution images are band-limited, thus they can be combined to get the global high-resolution image. Simulation and experiment confirmed the efficacy of the proposed technique called Fusion-BPA. It is a state-of-art, fast algorithm to deal with the non-linear scene imaging problem.
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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