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可配置的伪噪声雷达成像系统，实现同步的 MIMO 信道扩展。

Configurable Pseudo Noise Radar Imaging System Enabling Synchronous MIMO Channel Extension.

机构信息

Electronic Measurements and Signal Processing Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Fraunhofer Institute for Integrated Circuits IIS, 98693 Ilmenau, Germany.

出版信息

Sensors (Basel). 2023 Feb 23;23(5):2454. doi: 10.3390/s23052454.

DOI:10.3390/s23052454
PMID:36904658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10007565/
Abstract

In this article, we propose an evolved system design approach to ultra-wideband (UWB) radar based on pseudo-random noise (PRN) sequences, the key features of which are its user-adaptability to meet the demands provided by desired microwave imaging applications and its multichannel scalability. In light of providing a fully synchronized multichannel radar imaging system for short-range imaging as mine detection, non-destructive testing (NDT) or medical imaging, the advanced system architecture is presented with a special focus put on the implemented synchronization mechanism and clocking scheme. The core of the targeted adaptivity is provided by means of hardware, such as variable clock generators and dividers as well as programmable PRN generators. In addition to adaptive hardware, the customization of signal processing is feasible within an extensive open-source framework using the Red Pitaya data acquisition platform. A system benchmark in terms of signal-to-noise ratio (SNR), jitter, and synchronization stability is conducted to determine the achievable performance of the prototype system put into practice. Furthermore, an outlook on the planned future development and performance improvement is provided.

摘要

在本文中，我们提出了一种基于伪随机噪声（PRN）序列的超宽带（UWB）雷达演进系统设计方法，其主要特点是用户适应性强，能够满足期望的微波成像应用的需求，并且具有多通道可扩展性。为了为短距离成像（如地雷探测、无损检测（NDT）或医学成像）提供完全同步的多通道雷达成像系统，本文提出了一种先进的系统架构，特别关注所实现的同步机制和时钟方案。目标适应性的核心是通过硬件提供的，例如可变时钟发生器和分频器以及可编程 PRN 发生器。除了自适应硬件外，还可以在使用 Red Pitaya 数据采集平台的广泛开源框架内进行信号处理的定制。进行了信噪比（SNR）、抖动和同步稳定性的系统基准测试，以确定实际实施的原型系统的可实现性能。此外，还提供了对计划中的未来发展和性能改进的展望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3ee/10007565/962a8ebb3a94/sensors-23-02454-g015.jpg
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本文引用的文献

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MNP-Enhanced Microwave Medical Imaging by Means of Pseudo-Noise Sensing.基于伪噪声感知的 MNP 增强微波医学成像。
Sensors (Basel). 2021 Oct 4;21(19):6613. doi: 10.3390/s21196613.
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Differential Ultra-Wideband Microwave Imaging: Principle Application Challenges.差分超宽带微波成象：原理、应用和挑战。
Sensors (Basel). 2018 Jul 3;18(7):2136. doi: 10.3390/s18072136.
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Confocal microwave imaging for breast cancer detection: delay-multiply-and-sum image reconstruction algorithm.用于乳腺癌检测的共聚焦微波成像：延迟相乘求和图像重建算法
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