2019 12th German Microwave Conference (GeMiC)最新文献

Cooperative Target Detection in a Network of Single-Channel Radar Sensors 单通道雷达传感器网络中的协同目标检测

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-04-25 DOI: 10.23919/GEMIC.2019.8698131

Maximilian Steiner, Karim S. Osman, C. Waldschmidt

引用次数: 4

A broadband UAV-Based FMCW GPR and the Influence of Vegetation 基于无人机的宽带FMCW探地雷达及其植被的影响

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-04-25 DOI: 10.23919/GEMIC.2019.8698145

Ralf Burr, Markus Schartel, W. Mayer, T. Walter, C. Waldschmidt

引用次数: 3

Compressed Sensing based Single Snapshot DoA Estimation for Sparse MIMO Radar Arrays 基于压缩感知的稀疏MIMO雷达阵列单快照DoA估计

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-04-25 DOI: 10.23919/GEMIC.2019.8698136

Fabian Roos, Philipp Hügler, Lizette Lorraine Tovar Torres, Christina Knill, J. Schlichenmaier, C. Vasanelli, N. Appenrodt, J. Dickmann, C. Waldschmidt

引用次数: 21

MIMO Antenna Array System with Integrated 16x16 Butler Matrix and Power Amplifiers for 28GHz Wireless Communication 集成16x16管家矩阵和功率放大器的MIMO天线阵列系统，用于28GHz无线通信

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698194

Xiaozhou Wang, M. Laabs, D. Plettermeier, K. Kosaka, Y. Matsunaga

引用次数: 5

Low-cost Transmitarray Antenna Designs with ±70° Beam Steering Range in V-Band v波段波束转向范围为±70°的低成本发射阵列天线设计

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698118

M. Frank, F. Lurz, R. Weigel, A. Koelpin

引用次数: 3

260 GHz Broadband Power Amplifier MMIC 260 GHz宽带功率放大器MMIC

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698140

B. Schoch, A. Tessmann, A. Leuther, S. Wagner, I. Kallfass

引用次数: 3

A Multi-Beam Direction- and Polarization-Agile mm-Wave Front-End for 5G Communications 面向5G通信的多波束方向和极化敏捷毫米波前端

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698147

Steffen Spira, R. Thomä, M. Hein

引用次数: 5

Extraction of Scattering Centers Using a 77 GHz FMCW Radar 77 GHz FMCW雷达散射中心提取

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698144

S. Abadpour, A. Diewald, M. Pauli, T. Zwick

{"title":"Extraction of Scattering Centers Using a 77 GHz FMCW Radar","authors":"S. Abadpour, A. Diewald, M. Pauli, T. Zwick","doi":"10.23919/GEMIC.2019.8698144","DOIUrl":"https://doi.org/10.23919/GEMIC.2019.8698144","url":null,"abstract":"This paper investigates monostatic RCS measurement results of a typical car as a complex object using an FMCW automotive radar to determine the backscattering behavior of the target. The backscattering behavior can be modeled by identifying the scattering centers of the target. In a subsequent step, the extracted scattering centers can be used for the simulation of the millimeter wave automotive radar channel in realistic scenarios. These scenarios can be simulated by a comprehensive system simulation environment according to asymptotic ray-based methods. The used ray-tracing tool showed a good estimation of communication channels, however for radar channels, that relies primarily on backscattering effects, its accuracy is strongly dependent on the scattering behavior of the targets. The integration of highly resolved CAD models into the ray-tracing software results in a high computational effort. In many cases, the exact CAD model of a car or other traffic participants is not even available. So, one solution for minimizing the computational effort is to determine the scattering centers of complex objects and to identify the most significant ones. Based on these relevant scattering centers a simplified model can be created. For this purpose, some measurement campaigns have been performed in a realistic stationary environment to investigate the spatially resolved scattering behavior of a car.","PeriodicalId":312331,"journal":{"name":"2019 12th German Microwave Conference (GeMiC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131330877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Design and Optimization of Mixers Using Load-Pull Analysis of Higher Order Intermodulation Products 基于高阶互调产品负载-拉分析的混频器设计与优化

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698173

L. Manoliu, C. Grötsch, I. Kallfass

{"title":"Design and Optimization of Mixers Using Load-Pull Analysis of Higher Order Intermodulation Products","authors":"L. Manoliu, C. Grötsch, I. Kallfass","doi":"10.23919/GEMIC.2019.8698173","DOIUrl":"https://doi.org/10.23919/GEMIC.2019.8698173","url":null,"abstract":"This work proposes an innovative approach to improve the design of frequency-converting circuits. The novelty is the determination of the precise optimal impedance at each harmonic and inter-modulation frequency that will improve the performance of the mixer cell. The method takes into account the effect of the load impedances at inter-modulation frequencies on the conversion gain of the circuit. The proposed method can be applied to the optimization of any figure of merit. The optimal performance is found by varying load impedances, along with frequency, separately controlled using an ideal filter network at one or several mixer ports. The proposed load-pull analysis is applied to the optimization of a resistive mixer as a millimeter-wave monolithic integrated circuit, having a local oscillator frequency of 300 GHz and radio frequency bandwidth of 88 GHz. It is shown that by filtering the harmonics and presenting specific impedances, the conversion gain increases by more than 2.5 dB, while the radio frequency 3 dB-bandwidth has doubled. With the help of this analysis, the output matching network can be optimized.","PeriodicalId":312331,"journal":{"name":"2019 12th German Microwave Conference (GeMiC)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123151678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive Quantization for Staggered Synthetic Aperture Radar 交错合成孔径雷达的预测量化

2019 12th German Microwave Conference (GeMiC) Pub Date : 2019-03-25 DOI: 10.23919/GEMIC.2019.8698197

Nicola Gollin, M. Martone, Michelangelo Villano, P. Rizzoli, G. Krieger

{"title":"Predictive Quantization for Staggered Synthetic Aperture Radar","authors":"Nicola Gollin, M. Martone, Michelangelo Villano, P. Rizzoli, G. Krieger","doi":"10.23919/GEMIC.2019.8698197","DOIUrl":"https://doi.org/10.23919/GEMIC.2019.8698197","url":null,"abstract":"For upcoming spaceborne SAR mission the amount of data collected onboard is increasing, due to the employment of large bandwidths, multiple polarizations, and large swath widths, which lead to hard requirements in terms of onboard memory and downlink capacity. In this context, SAR raw data quantization represents an essential aspect, since it affects both the amount of data to be stored and transmitted to the ground and the quality of the resulting SAR products. In this paper, a data reduction approach based on predictive quantization is investigated in the context of Tandem-L, a DLR proposal for a highly innovative bistatic L-band radar satellite mission, aimed at monitoring the dynamic processes of the Earth. The proposed technique takes advantage of the time-variant autocorrelation properties of the non-uniform azimuth raw data stream in order to reduce the amount of data through a novel quantization method, named Predictive-Block Adaptive Quantization. Different prediction orders are investigated by considering the trade-off between achievable performance and complexity. Simulations for different target scenarios show that a data reduction of about 17.5% can be achieved with the proposed technique with a modest increase of the system complexity. Moreover, having a priori information on the gap positions in staggered SAR, a technique for their reconstruction based on dynamic bit allocation has been successfully implemented as well, showing no significant loss of information.","PeriodicalId":312331,"journal":{"name":"2019 12th German Microwave Conference (GeMiC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133455616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0