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Phase Error Estimation for Automotive SAR 汽车SAR相位误差估计
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9298998
M. Farhadi, R. Feger, J. Fink, T. Wagner, M. Gonser, J. Hasch, A. Stelzer
{"title":"Phase Error Estimation for Automotive SAR","authors":"M. Farhadi, R. Feger, J. Fink, T. Wagner, M. Gonser, J. Hasch, A. Stelzer","doi":"10.1109/ICMIM48759.2020.9298998","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298998","url":null,"abstract":"Phase error estimation and correction plays an essential role in high quality synthetic aperture radar (SAR) image formation. Especially in automotive applications, because of the highly non-linear driving paths, it is required to alleviate uncompensated motion errors. In this work, we use the general version of phase gradient autofocus (PGA) which is compatible with time-domain image formation algorithms. The adapted method overcomes the typical problems of conventional approaches and shows remarkable robustness against a large range of simulated errors. Furthermore, the proposed approach is evaluated on real radar data acquired by mounting a 77-GHz radar system on a bumper of a car. It is demonstrated that the implemented algorithm removes phase errors and improves the quality of automotive SAR image formation.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130083293","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: 4
Geometry-Aided BLE-Based Smartphone Positioning for Indoor Location-Based Services 基于几何辅助ble的智能手机室内定位服务
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9299009
Branislav Rudić, Maria Anneliese Klaffenböck, Markus Pichler-Scheder, D. Efrosinin, C. Kastl
{"title":"Geometry-Aided BLE-Based Smartphone Positioning for Indoor Location-Based Services","authors":"Branislav Rudić, Maria Anneliese Klaffenböck, Markus Pichler-Scheder, D. Efrosinin, C. Kastl","doi":"10.1109/ICMIM48759.2020.9299009","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299009","url":null,"abstract":"Self-positioning of smartphones in indoor environments offers a wide variety of applications. Anyway, in harsh environments, the achievable accuracies using received signal strength indicator measurement data are comparably low. However, restrictions due to geometry allow more accurate estimates of smartphone positions and trajectories. Based on received signal strength data from Bluetooth low energy beacons and Gaussian assumptions, an application of a discrete-state hidden Markov model – taking the geometry into account – in combination with dynamic model parameter estimation, leads to a significant improvement of error statistics.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114427275","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: 2
WSN Implementation of Cooperative Localization 协同定位的WSN实现
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9299096
B. Etzlinger, Andreas Ganhör, Julian Karoliny, Richard Hüttner, A. Springer
{"title":"WSN Implementation of Cooperative Localization","authors":"B. Etzlinger, Andreas Ganhör, Julian Karoliny, Richard Hüttner, A. Springer","doi":"10.1109/ICMIM48759.2020.9299096","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299096","url":null,"abstract":"Cooperative localization increases the accuracy of location estimates especially in networks with sparse anchor deployment. In this work, its implementation in low-cost low-power wireless sensor networks is presented. A WSN hardware platform with ultra-wideband ranging and communication is shown and the application of a belief propagation based cooperative localization algorithm discussed. With a simple channel access scheme and a standard ranging method, the main sources of error are discussed and indoor evaluations of the system are conducted.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129253944","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: 8
A MIMO UHF-RFID SAR 3D Locating System for Autonomous Inventory Robots 自主库存机器人的MIMO超高频rfid SAR三维定位系统
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9298989
Matthias Gareis, C. Carlowitz, M. Vossiek
{"title":"A MIMO UHF-RFID SAR 3D Locating System for Autonomous Inventory Robots","authors":"Matthias Gareis, C. Carlowitz, M. Vossiek","doi":"10.1109/ICMIM48759.2020.9298989","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298989","url":null,"abstract":"As ultrahigh frequency (UHF) radio-frequency identification (RFID) is a cost-efficient, reliable technology, its use for Internet of Things applications is very attractive. The goal of three-dimensional (3D) product maps for smart warehouses is very challenging, but can be achieved with UHF-RFID. Therefore, we equipped a mobile robot platform with a commercial RFID reader and added a switching matrix to integrate a multiple input—multiple output (MIMO) synthetic aperture radar based localization concept (SARFID) with the use of eight antennas. The mobile robot platform and the MIMO localization technique together demonstrate good tag localization results. We evaluate both single-dimensional and two-dimensional synthetic aperture radar (SAR) trajectories. Their shapes are the main contributor to the achievable accuracy. The robot position is acquired by the robot’s odometry data. Despite the substantial error in the robot position, we generate 3D product maps with tags labeled on objects and achieve a 3D root mean square error (RMSE) of 3.8 cm.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343761","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: 2
Combining Radar and Communication at 77 GHz Using a CDMA Technique 基于CDMA技术的77 GHz雷达与通信结合
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9298992
Maximilian Lübke, Jonas Fuchs, Victor Shatov, Anand Dubey, R. Weigel, F. Lurz
{"title":"Combining Radar and Communication at 77 GHz Using a CDMA Technique","authors":"Maximilian Lübke, Jonas Fuchs, Victor Shatov, Anand Dubey, R. Weigel, F. Lurz","doi":"10.1109/ICMIM48759.2020.9298992","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298992","url":null,"abstract":"In this paper, a system that combines radar sensing and a new communication approach, using Direct-Sequence-Spread-Spectrum-signals, is presented. Those signals benefit from their attributes, regarding the reduced interference between multiple transmitters. This interference is caused by the fact that in modern vehicles more and more radar sensors are integrated to reach an 360 degree view of the vehicles’ surroundings. To gain more knowledge of the surrounding, the idea is to get further information by connecting vehicles and establishing a communication between them. Therefore, radar signals at 77 GHz are modulated to exchange i. e. safety information of the incoming surroundings between cars. In consequence, both parts are integrated into one platform, which reduces both costs as well as occupied place. A system, which is capable of this design approach, is presented in MATLAB/Simulink environment. The propagation parameters are simulated by an electromagnetic field simulator WinProp and are fed back into the Simulink simulation. This workflow provides a promising simulation tool for joint sensing-communications. The final proof of concept of the sensing and communication part is presented for a typical traffic situation.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126912616","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: 5
Exploiting Compressive Sensing Basis Selection to Improve 2 × 2 MIMO Radar Image 利用压缩感知基选择改进2 × 2 MIMO雷达图像
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9299018
N. Rojhani, M. Passafiume, M. Lucarelli, G. Collodi, A. Cidronali
{"title":"Exploiting Compressive Sensing Basis Selection to Improve 2 × 2 MIMO Radar Image","authors":"N. Rojhani, M. Passafiume, M. Lucarelli, G. Collodi, A. Cidronali","doi":"10.1109/ICMIM48759.2020.9299018","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299018","url":null,"abstract":"This paper presents a novel technique suitable to build a basis matrix for image recovery in Compressive Sensing Multiple-Input Multiple-Output (CS-MIMO) radar. The proposed technique selects the best sparsifying basis matrix through the use of Gaussian noise, achieving the $mathrm{R}^{N}$ orthonormal space base with the sparsest structure. A comparison is made between the performance of this optimized basis matrix with both the Fast Fourier Transformation (FFT) and the Haar wavelet. Improvement with respect to optimum Nyquist criterion is quantitatively evaluated by using the effective Target peak to Secondary peak Ratio (TSR). Experimental data on a MIMO radar shows that this basic matrix maintains the Field of View (FOV), while improving the angular resolution with respect to the prior sparsity matrix.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129572502","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: 2
Machine Learning Applied to Blockage Classification in Automotive Radar 机器学习在汽车雷达堵塞分类中的应用
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9298969
Matt R. Fetterman, Aret Carlsen, J. Ru, Yifan Zuo
{"title":"Machine Learning Applied to Blockage Classification in Automotive Radar","authors":"Matt R. Fetterman, Aret Carlsen, J. Ru, Yifan Zuo","doi":"10.1109/ICMIM48759.2020.9298969","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298969","url":null,"abstract":"Detection of radar blockage is a critical safety function for automotive radar. In this paper, we report on a machine-learning approach to classify the blockage condition in automotive radar, using detection data. We consider logistic regression, tree-bagging, and neural network approaches. We used pruning to reduce the size of the neural network to make it a viable option for embedded processors with limited memory. The results show that the classifiers, especially the neural network, can achieve high accuracy with a low false-alarm rate.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"15 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115127495","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
BAW multiplexers for 5G: Visualizing the source of perturbed nonlinear cancellation by interferometry 用于5G的BAW多路复用器:通过干涉测量可视化摄动非线性抵消源
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9299106
S. Kreuzer
{"title":"BAW multiplexers for 5G: Visualizing the source of perturbed nonlinear cancellation by interferometry","authors":"S. Kreuzer","doi":"10.1109/ICMIM48759.2020.9299106","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299106","url":null,"abstract":"Nonlinear (NL) performance requirements on BAW filters and modules highly increased in the past years. Next generation 5G BAW modules will serve many new frequency bands, where superior NL performance of BAW filters is indispensable. Whereas the prediction accuracy on the purely electromagnetic (EM) contributions of BAW simulation reached an impressive level, there is still a lack of predicting all acoustic phenomena that can impact the final response of a real device precisely. Regarding harmonics specifications of a filter, this manifests in acoustic spurious modes showing up as pronounced ripples for example in the second harmonic (H2) response. In this article the main contributions to imperfect cancellation in a real BAW device are summarized and a novel way to visualize harmonics cancellation using interferometry is presented. This new approach allows for an indirect detection of the strains present in the resonator’s piezo layer over frequency and thus makes it possible to analyze and gain a deeper understanding of the final electrical nonlinear performance.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738996","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
ATRIUM: Test Environment for Automotive Radars ATRIUM:汽车雷达测试环境
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9298995
S. Wald, T. Mathy, Sreejith Nair, Carlos Moreno Leon, T. Dallmann
{"title":"ATRIUM: Test Environment for Automotive Radars","authors":"S. Wald, T. Mathy, Sreejith Nair, Carlos Moreno Leon, T. Dallmann","doi":"10.1109/ICMIM48759.2020.9298995","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298995","url":null,"abstract":"In the automotive sector, the importance of autonomous driving will continue to increase in the future, in addition to further development in the areas of vehicle safety and driving comfort. In order to be able to develop the systems required for this, the automotive industry is dependent on appropriate sensor technology that is able to reliably detect the vehicle’s environment in real time and provide the system with additional relevant information. Radar, Lidar and camera systems are among the environmental sensors used in a modern vehicle. These sensors will play a decisive role in the future development of driver assistance systems and autonomous driving. For the development and testing of radar systems, a suitable test environment is needed to verify the reliable function of radar sensors. In this publication a new method developed at Fraunhofer FHR (Fraunhofer Institute for High Frequency Physics and Radar Techniques), is presented, which was implemented with the ID radar target simulator ATRIUM.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116090088","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: 9
A Non-Closed-Form Mathematical Model for Uniform and Non-Uniform Distributed Amplifiers 均匀和非均匀分布放大器的非封闭数学模型
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) Pub Date : 2020-11-23 DOI: 10.1109/ICMIM48759.2020.9299099
Mohamad EL Chaar, Antonio A. L. de Souza, M. Barragán, F. Podevin, S. Bourdel
{"title":"A Non-Closed-Form Mathematical Model for Uniform and Non-Uniform Distributed Amplifiers","authors":"Mohamad EL Chaar, Antonio A. L. de Souza, M. Barragán, F. Podevin, S. Bourdel","doi":"10.1109/ICMIM48759.2020.9299099","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299099","url":null,"abstract":"A non-closed-form general mathematical model for CMOS distributed amplifier (DA) for broadband applications is presented. Contrary to the artificial transmission line (TL) assumption made in the conventional analytical models, the proposed model treats the DA as a discrete set of cells connected together, and hence considers propagation and mismatch between inter-cells. This approach provides designers with a much more accurate first sizing of the DA compared to conventional ways and, as a result, leads to a reduced design time and complexity. The model enables both quantitative and qualitative analysis of a DA, for the purpose of aiding the designers in predicting the relations between DA performance and its multi-design parameters, especially in the context of non-uniform designs. In addition, it is well suited to Computer-Automated Design (CAutoD), to help in achieving designs having a given set of performance goals. The validation of the model is demonstrated on two designs, by a comparison with simulations done in Keysight’s ADS tool and using STMicroelectronics’ 55-nm SiGe BiCMOS design kit. First design is inspired from an already published non-uniform DA design while second one proposes a 100-GHz bandwidth CMOS uniform DA with 8 dB of power gain, after using it in a CAutoD process.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755759","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: 1
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