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2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)最新文献

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A Simple Method for Robust Vehicular Communication with Multiple Nonideal Antennas 多非理想天线车辆鲁棒通信的一种简单方法
Keerthi Kumar Nagalapur, E. Ström, Fredrik Brännström, J. Carlsson, K. Karlsson
For critical vehicular communication services, such as traffic safety and traffic efficiency, it is advisable to design systems with robustness as the main criteria, possibly at the price of reduced peak performance and efficiency. We describe a simple, low-cost method for combining the output of L nonideal (i.e., nonisotropic) antennas to the input signal to a single-port receiver with the aim to guarantee robustness, i.e., to minimize the probability that K consecutive packets arriving from the worst-case angle-of-arrival are decoded incorrectly. To minimize complexity, the combining network does not estimate or use channel state information (complex channel gains, noise levels, etc.). The combining network consists of L −1 analog phase shifters whose phases are affine functions of time. For a general L and the case when the packet error probability decays exponentially with the received SNR, the optimum slopes of the affine functions can be computed by solving an optimization problem that depends on the antenna far field functions. We provide an analytical solution for the special case of L $=2$ antennas, which turns out to be independent of the antenna patterns. In an experimental setup consisting of two monopole antennas mounted on the roof of a Volvo XC90, the proposed combining method is shown to give significant performance gains compared to using just one of the antennas.
对于关键的车辆通信服务,如交通安全和交通效率,建议以鲁棒性为主要标准来设计系统,可能会以降低峰值性能和效率为代价。我们描述了一种简单,低成本的方法,将L个非理想(即,非各向同性)天线的输出与单端口接收器的输入信号相结合,目的是保证鲁棒性,即最小化从最坏到达角度到达的K个连续数据包被错误解码的概率。为了最小化复杂性,组合网络不估计或使用信道状态信息(复杂信道增益、噪声水平等)。组合网络由L−1个模拟移相器组成,其相位是时间的仿射函数。对于一般的L和包错误概率随接收信噪比呈指数衰减的情况,可以通过求解依赖于天线远场函数的优化问题来计算仿射函数的最优斜率。我们给出了L $=2$天线的特殊情况的解析解,它与天线方向图无关。在一个由安装在沃尔沃XC90车顶上的两个单极天线组成的实验装置中,与仅使用其中一个天线相比,所提出的组合方法显示出显著的性能提升。
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引用次数: 2
Radar Based Rain Drop Classification for Industrial Applications 基于雷达的雨滴分类工业应用
Marc A. Mutschler, Philipp A. Scharf, Pascal Fonfara, H. Mantz, T. Walter, C. Waldschmidt
In this contribution results from radar based Doppler measurements for rain drop detection will be presented and discussed. It will be pointed out that using such sensors not only the velocity but also the incident angle of the impinging rain drop can be determined which is an additional relevant parameter for an environmental sensor. Furthermore, the importance of simulation will be addressed for an enhanced understanding of such multi-particle problems
在这篇文章中,将介绍和讨论基于雷达的多普勒测量的雨滴探测结果。本文将指出,使用这种传感器不仅可以确定速度,而且可以确定撞击雨滴的入射角,这是环境传感器的另一个相关参数。此外,模拟的重要性将被解决,以提高对这类多粒子问题的理解
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引用次数: 0
Radar-Based High-Accuracy 3D Localization of UAVs for Landing in GNSS-Denied Environments 无gnss环境下无人机着陆雷达高精度三维定位
Yassen Dobrev, Y. Dobrev, P. Gulden, Melanie Lipka, T. Pavlenko, D. Moormann, M. Vossiek
Global navigation satellite systems (GNSS) such as GPS are the de-facto standard for absolute and reliable unmanned aerial vehicles (UAV) localization due to their global availability and the maturity and wide spread of the underlying technology. However, as the spread and reliance upon autonomous UAV systems increases, the risk of jamming becomes a substantial safety problem. The area where jamming attacks are most likely to occur is the close vicinity of the UAV landing station. Hence, to ensure reliable operations, an alternative localization technology for the approach and landing phase is needed. This paper presents a localization system for 3D position estimation based on 24 GHz FMCW cooperative radar. It has very low infrastructure requirements thanks to the combination of ranging and direction-of-arrival (DOA) estimation techniques employed in the ground station. Jamming resistance is improved due to the large bandwidth of 250 MHz. A measurement campaign was conducted to prove the feasibility of the proposed concept.
全球导航卫星系统(GNSS)如GPS是绝对可靠的实际标准无人机(UAV)定位由于全球可用性和底层技术的成熟和广泛传播。然而,随着自主无人机系统的传播和依赖的增加,干扰的风险成为一个实质性的安全问题。干扰攻击最有可能发生的区域是无人机着陆站附近。因此,为了确保可靠的操作,需要一种替代的进近和着陆阶段定位技术。提出了一种基于24 GHz FMCW协同雷达的三维位置估计定位系统。由于地面站采用了测距和到达方向(DOA)估计技术,因此对基础设施的要求非常低。250mhz的大带宽提高了抗干扰能力。进行了一次测量活动以证明所提出概念的可行性。
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引用次数: 19
Performance Investigation of Automotive SAR Imaging 汽车SAR成像性能研究
A. Laribi, Markus Hahn, J. Dickmann, C. Waldschmidt
This paper investigates the potential of applying synthetic aperture radar (SAR) to automotive applications using a short range vehicle-mounted Frequency Modulation Continuous Wave (FMCW) radar. The Range Migration Algorithm (RMA) is adopted in this work for SAR image formation as it is ideal for focusing range curvatures of targets at short ranges. The first part of this paper gives a brief overview of RMA based strip map SAR processing of FMCW radar signals. In the latter part, collected data of real world stationary targets such as cars, poles and buildings are processed providing high resolution SAR images of different synthetic aperture lengths. The obtained images are presented, discussed and compared in terms of cross range accuracy and resolution to show that high resolution target imaging can be achieved using automotive SAR.
本文研究了利用近程车载调频连续波(FMCW)雷达将合成孔径雷达(SAR)应用于汽车应用的潜力。本文采用距离偏移算法(distance Migration Algorithm, RMA)对近距离目标的距离曲率进行聚焦,从而形成SAR图像。本文第一部分简要介绍了基于RMA的FMCW雷达信号条形图SAR处理技术。后一部分对采集到的汽车、电线杆、建筑物等真实静止目标数据进行处理,得到不同合成孔径长度的高分辨率SAR图像。对所获得的图像进行了对比分析,并从交叉距离精度和分辨率两方面进行了比较,表明利用汽车SAR可以实现高分辨率的目标成像。
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引用次数: 34
Wireless Local Positioning with SILO-Based Backscatter Transponders for Autonomous Robot Navigation 基于后向散射应答器的机器人自主导航无线局部定位
Martin Schtz, Yassen Dobrev, C. Carlowitz, M. Vossiek
In this paper, we present a concept for wireless local positioning with multiple backscatter transponders based on the switched-injection locked oscillator (SILO). It allows reliable localization and ego-motion estimation of autonomous robots in indoor and outdoor environments. We derive the range-doppler spectrum of the beat signal that is induced by a single transponder in a FMCW radar system. With multiple transponders, a localization network is created that allows multilateral and multiangulation based positioning. For an initial evaluation, we built a miniaturized transponder for the 24 GHz ISM band and proofed the concept with a straightforward measurement, including two transponders, a moving ground robot equipped with a FMCW radar system and a laser tracker reference.
本文提出了一种基于开关注入锁定振荡器(SILO)的多后向散射应答器无线局部定位的概念。它允许在室内和室外环境中对自主机器人进行可靠的定位和自我运动估计。我们推导了FMCW雷达系统中单个应答器产生的拍频信号的距离-多普勒频谱。通过多个应答器,可以创建一个基于多边和多角度定位的定位网络。为了进行初步评估,我们建立了一个24 GHz ISM频段的小型转发器,并通过简单的测量验证了这一概念,包括两个转发器,一个配备FMCW雷达系统的移动地面机器人和一个激光跟踪器参考。
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引用次数: 7
Convolutional Neural Network Assisted Detection and Localization of UAVs with a Narrowband Multi-site Radar 基于卷积神经网络的窄带多点雷达无人机检测与定位
Javier Martinez, D. Kopyto, Martin Schütz, M. Vossiek
We present an approach to detect and locate non-cooperative UAVs from their micro-Doppler signature using a narrowband radar in a multi-site configuration. We describe a method for the localization of rotating objects with the geometric information obtained exclusively from their micro-Doppler signatures. This approach only requires very simple transceivers with CW waveforms, in a cost-effective multi-site architecture. A convolutional neural network is used to detect and identify the UAVs by extracting the characteristic features of their micro-Doppler signature. We present simulated and preliminary experimental data that show the technical viability of this concept.
我们提出了一种利用窄带雷达在多站点配置中从其微多普勒特征中检测和定位非合作无人机的方法。我们描述了一种利用旋转物体的微多普勒特征获得几何信息的定位方法。这种方法只需要具有CW波形的非常简单的收发器,具有成本效益的多站点架构。通过提取无人机微多普勒特征,利用卷积神经网络对无人机进行检测和识别。我们提出了模拟和初步的实验数据,表明这一概念的技术可行性。
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引用次数: 4
Measuring ETSI ITS-G5 Communications Latencies with Commercial off-the-shelf Wi-Fi Hardware 用商用现成的Wi-Fi硬件测量ETSI ITS-G5通信延迟
Peter Große, Carsten Andrich, W. Kotterman, Alexander Ihlow, G. D. Galdo
We transmit ETSI ITS-G5 standard compliant packets using commercial off-the-shelf Wi-Fi cards based on the Atheros 9k chipset under Linux operating system and measure latencies within the transmission chain by a ping-pong scheme. While preparing, enqueing, and handing over a packet to the kernel via send() takes about 10 microseconds, a reception delay of about 500 microseconds is introduced, before the dequeing and return of recv() takes about another 10 microseconds. The 500 microsecond delay is caused by RX interrupt mitigation in the ath9k device driver and can be adjusted by a kernel patch.
我们在Linux操作系统下使用基于Atheros 9k芯片组的商用现成Wi-Fi卡传输符合ETSI ITS-G5标准的数据包,并通过乒乓方案测量传输链内的延迟。虽然通过send()准备、排队和将数据包交给内核大约需要10微秒,但在recv()的排队和返回大约需要10微秒之前,会引入大约500微秒的接收延迟。500微秒的延迟是由ath9k设备驱动程序中的RX中断缓解引起的,可以通过内核补丁进行调整。
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引用次数: 4
Radar Sensors (24 and 80 GHz Range) for Level Measurement in Industrial Processes 用于工业过程中液位测量的雷达传感器(24和80 GHz范围)
M. Vogt
The measurement of the filling level of liquid and solid goods in storage, process, and other tanks and silos is an important task in many industries. Examples of liquids are oil, gasoline, various chemicals and pharmaceuticals, water, and beverages. Also, a large variety of bulk solids can be given, for example fine granulated solids like flour, sugar, sand, grains, and various powders. Examples of more rough solids are pellets, coal, grit, stones, and others. Resulting from the different electrical properties (permittivity and conductivity) and the different sizes and structures, the reflection, scattering, and attenuation properties are strongly different. Radar sensors operating at frequencies up to 24 GHz are already well-established for level measurement applications. Radio regulations and the latest state- of-the-art technology have now also made radar level meters at high frequencies in the 80 GHz range commercially available. In this contribution, first the measurement scenarios and conditions given with liquids and bulk solids are both discussed and compared to each other. Secondly, criteria and technical backgrounds for a suitable choice between 24 GHz and 80 GHz radar systems dependent on the specific level measurement application are motivated and given. Thereafter, the realization of components for according radar sensors is presented and discussed, with a focus on the radio-frequency (RF) front-end electronics using monolithic microwave integrated circuits (MMIC) and different radar antenna concepts. For the latter, the given harsh conditions in the application are a challenge, as will be discussed. Finally, some exemplary results obtained from practical measurements with the discussed radar systems are presented and analyzed.
测量储存、加工和其他储罐和筒仓中的液体和固体货物的填充水平是许多行业的重要任务。液体的例子有油、汽油、各种化学品和药品、水和饮料。此外,还可以提供各种各样的散装固体,例如细粒固体,如面粉、糖、沙子、谷物和各种粉末。较为粗糙的固体有颗粒、煤、砂砾、石头等。由于不同的电学性质(介电常数和电导率)和不同的尺寸和结构,反射、散射和衰减特性有很大的不同。工作频率高达24 GHz的雷达传感器已经在液位测量应用中得到了很好的应用。无线电法规和最新的先进技术现在也使雷达液位计在80千兆赫的高频范围内商业化。在这篇文章中,首先讨论了液体和散装固体的测量场景和条件,并进行了相互比较。其次,根据具体的电平测量应用,给出了在24 GHz和80 GHz雷达系统之间进行合适选择的标准和技术背景。然后,介绍和讨论了雷达传感器的组件实现,重点介绍了采用单片微波集成电路(MMIC)和不同雷达天线概念的射频(RF)前端电子器件。对于后者,应用程序中给定的恶劣条件是一个挑战,我们将对此进行讨论。最后,给出了用所讨论的雷达系统进行实际测量得到的一些示例性结果并进行了分析。
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引用次数: 20
An Automotive Antenna Set at 26.5 GHz for 5G-Mobile Communication 用于5g移动通信的26.5 GHz汽车天线
S. Hastürkoğlu, S. Lindenmeier
An automotive antenna set of four collinear arrays between 24.25 GHz and 29.5 GHz is introduced for application of 5G mobile communication in roof radomes of future cars. Each of the single antenna elements combines high gain in horizontal direction with an omnidirectional pattern which is well suited for application in multiple input multiple output (MIMO) transmission. In a phased array application the four antenna elements yield in the horizontal plane a high gain of 16 dBi at driving direction and 10.5 dBi in lateral direction which yields good access along the driving path. The gain of the antenna elements, efficiency, mutual coupling and the variable radiation characteristics of the antenna array are investigated by means of simulation and measurement.
为实现5G移动通信在未来汽车车顶天线罩中的应用,介绍了24.25 GHz ~ 29.5 GHz四组共线阵列的汽车天线组。每个单天线单元都结合了水平方向的高增益和全向方向图,非常适合多输入多输出(MIMO)传输。在相控阵应用中,四个天线单元在水平平面上的驱动方向产生16 dBi的高增益,在横向方向产生10.5 dBi的高增益,从而在驱动路径上产生良好的接入。通过仿真和测量,研究了天线单元的增益、效率、相互耦合和天线阵列的变辐射特性。
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引用次数: 6
Discrimination of stationary from moving targets with recurrent neural networks in automotive Radar 基于递归神经网络的汽车雷达静止目标与运动目标的识别
Christopher Grimm, Tobias Breddermann, Ridha Farhoud, T. Fei, Ernst Warsitz, R. Haeb-Umbach
In this paper, we present a neural network based classification algorithm for the discrimination of moving from stationary targets in the sight of an automotive radar sensor. Compared to existing algorithms, the proposed algorithm can take into account multiple local radar targets instead of performing classification inference on each target individually resulting in superior discrimination accuracy, especially suitable for non rigid objects, like pedestrians, which in general have a wide velocity spread when multiple targets are detected.
本文提出了一种基于神经网络的汽车雷达识别静止目标的分类算法。与现有算法相比,该算法可以考虑多个局部雷达目标,而不是对每个目标单独进行分类推理,从而提高了识别精度,特别适用于行人等非刚性目标,当检测到多个目标时,这些目标通常具有较大的速度分布。
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引用次数: 2
期刊
2018 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)
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