毫米波计算成像近场编码孔径雷达物理模型的硬件加速

Q3 Engineering
Rahul Sharma, O. Yurduseven, B. Deka, V. Fusco
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引用次数: 12

摘要

实时图像应用的需求不断增加,例如对灾难救援和安全检查的快速反应。雷达成像系统的吞吐量主要由两个参数控制;数据采集时间和信号处理时间。为了最大限度地减少数据采集时间,世界各地的研究人员正在尝试和测试各种方法。其中计算成像(CI)技术是利用编码孔径将雷达后向散射测量值编码为一组时空非相干辐射图。这种基于ci的成像方法消除了对光栅扫描的需求,并且可以大大简化物理硬件架构。同样重要的是,从编码后向散射测量中检索场景信息所需的处理时间。在CI中,硬件层的简化是以增加信号处理层的复杂性为代价的,因为通过编码孔径的时空非相干传递函数间接映射和压缩场景信息。为了解决这一特殊挑战,本文提出了一种基于硬件的CI信号处理解决方案,使用现场可编程门阵列(Xilinx Virtex-7 (XC7VX485T) FPGA芯片)架构。具体而言,该方法是利用FPGA芯片计算CI传感矩阵并将其存储在FPGA平台上进行图像重建。对于伴随运算,计算出的传感矩阵应用于测量到的目标物体的后向散射波。我们证明了基于FPGA的计算速度比传统的暴力破解方案快21.9倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HARDWARE ENABLED ACCELERATION OF NEAR-FIELD CODED APERTURE RADAR PHYSICAL MODEL FOR MILLIMETRE-WAVE COMPUTATIONAL IMAGING
There is an increasing demand in real-time imagery applications such as rapid response to disaster rescue and security screening to name a few. The throughput of a radar imaging system is mainly controlled by two parameters; data acquisition time and signal processing time. To minimize the data acquisition time, various methods are being tried and tested by researchers worldwide. Among them is the computational imaging (CI) technique, which relies on using coded apertures to encode the radar back-scattered measurements onto a set of spatio-temporally incoherent radiation patterns. Such a CI-based imaging approach eliminates the requirement for a raster scan and can substantially simplify the physical hardware architecture. Equally important is the processing time needed to retrieve the scene information from the coded back-scattered measurements. In CI, the simplification in the hardware layer comes at the cost of increased complexity in the signal processing layer due to the indirect mapping and compression of the scene information through the spatio-temporally incoherent transfer function of the coded apertures. To address this particular challenge, this paper presents a hardware-based solution for CI signal processing using a Field Programmable Gate Array (an Xilinx Virtex-7 (XC7VX485T) FPGA chip) architecture. In particular, the proposed method consists of calculating the CI sensing matrix using the FPGA chip and storing it on the FPGA platform for image reconstruction. For the adjoint operation, the calculated sensing matrix is applied on the measured back-scattered waves from the target object. We demonstrate that the FPGA based calculation can reach 21.9 times faster speed than conventional brute-force solutions.
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来源期刊
Progress In Electromagnetics Research B
Progress In Electromagnetics Research B Engineering-Electrical and Electronic Engineering
CiteScore
2.70
自引率
0.00%
发文量
14
期刊介绍: Progress In Electromagnetics Research (PIER) B publishes peer-reviewed original, comprehensive and tutorial review articles on all aspects of electromagnetic theory and applications. It is a new journal in 2008, and freely available to all readers via the Internet. Manuscripts submitted to PIER B must not have been submitted simultaneously to other journals. Authors are solely responsible for the factual accuracy of their articles, and all articles are understood to have received clearance(s) for publication.
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