A. Cidronali, G. Collodi, M. Lucarelli, S. Maddio, G. Pelosi
{"title":"Filtenna Design for 5.8 GHz DSRC and 5.9 GHz WAVE Coexistence","authors":"A. Cidronali, G. Collodi, M. Lucarelli, S. Maddio, G. Pelosi","doi":"10.1109/ICMIM48759.2020.9299003","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299003","url":null,"abstract":"In this manuscript a filtenna designed for automotive applications in ITS system environment is presented. The proposed device is a compact circularly polarized patch antenna characterized by high gain. The latter is enabled by the use of a parasite coupling mechanism. The antenna itself is integrated with a compact filter, realized etching out properly designed spirals from the feeding line. The resulting structure is a low profile and compact filtenna, suitable for transmitting DSRC signals at 5.8GHz while at the same time blocking the WAVE protocol data allocated at 5.9GHz. This implementation is extremely compact, scalable and suitable for On-Board Units deployment. Experimental simulations confirm a maximum gain at 5.8GHz of 5.1dBi, while at the rejected frequency (5.9GHz) it has a value around 0.5dBi. A good discrimination between LH and RH polarization at 5.8GHz is shown (15.6dB), thus validating the design and making the device suitable for DSRC operation.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"59 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":"127655063","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}
Robert Prophet, Yi Jin, Juan-Carlos Fuentes-Michel, Anastasios Deligiannis, Ingo Weber, M. Vossiek
{"title":"CNN Based Road Course Estimation on Automotive Radar Data with Various Gridmaps","authors":"Robert Prophet, Yi Jin, Juan-Carlos Fuentes-Michel, Anastasios Deligiannis, Ingo Weber, M. Vossiek","doi":"10.1109/ICMIM48759.2020.9299086","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299086","url":null,"abstract":"Automotive radar is a promising technology with regard to path planning, since radar systems offer a comparatively long range and are robust against bad weather conditions. In this paper, we use Convolutional Neural Networks (CNN) to determine the current road course from radar point clouds. For this purpose, we first transform the radar point cloud into various gridmaps, which then serve as an input for the CNN. The quality of the road course estimation is evaluated using a test dataset. Exemplary test results showed an average deviation of less than 91 cm at a range of 100 m between the ground truth and the estimated road course. These excellent results prove that CNN processing of radar measurements is an attractive option for reliable and precise road course estimation.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"193 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":"121109803","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}
{"title":"Grating Lobes Suppression of Patch Antenna Arrays Using Parasitic Monopoles","authors":"Wasim Alshrafi, D. Heberling","doi":"10.1109/ICMIM48759.2020.9298984","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298984","url":null,"abstract":"This work presents a technique to suppress the grating lobes of the antenna arrays that consists of large separated patch elements. The solution is based on modifying the patch radiation pattern using a parasitic monopole to suppress the grating lobes of the antenna array. The analysis of the combined structure is presented. The presence of the monopole modified the patch radiation pattern due to the coupling between them. This coupling as well as the induced current on the monopole are analytically calculated. The study provides the behaviour of the coupling for different separation distances and monopole dimensions. Then it is used to calculate the total radiation pattern of the single antenna element as well as the antenna array. Finally, the results are verified by the full-wave simulation.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"22 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":"116946745","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}
Manuel Lobinger, Kevin Niederwanger, Stefan Schwarz
{"title":"Performance Analysis of Beam-Switching using One-Dimensional Antenna Arrays","authors":"Manuel Lobinger, Kevin Niederwanger, Stefan Schwarz","doi":"10.1109/ICMIM48759.2020.9298978","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298978","url":null,"abstract":"Adaptive beamforming (BF) is a well known application of active BF but comes with the cost of high complexity and computational effort in terms of angle and channel estimation. In order to find a low complexity alternative of adaptive BF we investigate the performance of a beam-switching method considering a uniform linear antenna array (ULA), one dimensional BF and two-wave with diffuse power (TWDP) fading. Therefore we compare adaptive BF with analog BF considered as beamswitching using horizontally and vertically arranged ULAs in terms of signal-to-noise ratio (SNR) and achievable rate by means of Monte Carlo simulations.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"5 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":"126620045","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}
Karim Ishak, N. Appenrodt, J. Dickmann, C. Waldschmidt
{"title":"Human Gesture Classification for Autonomous Driving Applications using Radars","authors":"Karim Ishak, N. Appenrodt, J. Dickmann, C. Waldschmidt","doi":"10.1109/ICMIM48759.2020.9298980","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298980","url":null,"abstract":"The age of fully autonomous driving requires the vehicles to be able to fully understand the surrounding environment. Police officers and pedestrians perform different gestures and movements in streets on a daily basis. Detecting these movements and gestures and classifying them are necessary tasks that need to be achieved so as to get ready for autonomous driving. Radars, which are nowadays irreplaceable in the automotive industry, can capture the gestures and their varying signatures with time. Various important traffic scenarios, that occur everyday on the streets are going to be the focus in this paper. A radar-based signal processing chain and classification of the scenarios using convolutional neural networks is going to be presented. Data representation is also introduced to have a better insight for the data distribution.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"89 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":"114445559","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}
L. G. D. Oliveira, Mohamad Basim Alabd, Benjamin Nuss, T. Zwick
{"title":"Range Association and Fusion in a Network of Single-Channel Monostatic OFDM Radars","authors":"L. G. D. Oliveira, Mohamad Basim Alabd, Benjamin Nuss, T. Zwick","doi":"10.1109/ICMIM48759.2020.9299074","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299074","url":null,"abstract":"This study introduces a framework for positioning with a network of single-channel monostatic radars with decentralized detection. In this context, a multitarget-multisensor data association procedure for estimating the number of point targets and assigned reflections from the radar stations to each supposed target is described. Next, a data fusion stage for each of these supposed targets as well as remarks on the achievable accuracy are discussed. Based on achieved results for a network of orthogonal frequency-division multiplexing (OFDM) radars, it is concluded that the introduced framework yields appropriate estimates on both number of targets and their positions.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"1 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":"131378506","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}
Patrick Rippl, Johannes Iberle, Marc A. Mutschler, Philipp A. Scharf, H. Mantz, T. Walter
{"title":"Analysis of pedestrian gait patterns using radar based Micro-Doppler Signatures for the protection of vulnerable road users","authors":"Patrick Rippl, Johannes Iberle, Marc A. Mutschler, Philipp A. Scharf, H. Mantz, T. Walter","doi":"10.1109/ICMIM48759.2020.9299029","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299029","url":null,"abstract":"This contribution provides an approach to isolate and mathematically describe the movement of single body parts in the context of Doppler radar measurements. Using a Fourier series approximation, the quasi-periodic Micro-Doppler signatures of single body parts, namely the torso and the knee, are displayed. The motion of these body parts show certain features as the coefficients of the approximation indicate. As a result, the Fourier coefficients deliver a characteristic pattern describing the Micro-Doppler signatures of the single body parts. The frequency component coincides with the stride rate of the pedestrian.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"20 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":"115193666","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}
A. J. Samarasekera, R. Feger, Jonathan Bechter, A. Stelzer
{"title":"Phase Noise Measurements in Chirped FMCW Radar Signals","authors":"A. J. Samarasekera, R. Feger, Jonathan Bechter, A. Stelzer","doi":"10.1109/ICMIM48759.2020.9299035","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9299035","url":null,"abstract":"Phase noise has a significant effect on the performance of a radar system, especially on loosely coupled cooperative radar systems, where the bi-static or the multi-static signal is down-converted by mixing it with a signal that has been generated by a different frequency synthesizer. As phase noise is known to increase the noise floor level around large target(s), it makes it impossible for detection and tracking of small target(s). Therefore, it is imperative that we are able to measure and evaluate the performance of phase noise in FMCW radar systems. In this paper, we will be presenting an experimental method to measure and evaluate the phase noise of an FMCW radar system on the chirp. The measurements have been performed for a tone frequency and for a FMCW radar chirp on the chirp. The results have been verified by comparing the tone-frequency measurements carried out by the proposed measurement method to the measurements that were performed by a signal source analyzer. The phase noise measurements were conducted using two 77-GHz FMCW radar units from different generations.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"101 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":"116795920","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}
{"title":"Slow-Time Mitigation of Mutual Interference in Chirp Sequence Radar","authors":"Máté Tóth, P. Meissner, A. Melzer, K. Witrisal","doi":"10.1109/ICMIM48759.2020.9298996","DOIUrl":"https://doi.org/10.1109/ICMIM48759.2020.9298996","url":null,"abstract":"Automotive radars are increasingly used for safety-critical advanced driver assistance systems (ADAS) and autonomous driving applications. Due to unregulated waveforms in the automotive frequency bands, mutual interference between radar-equipped vehicles is becoming a key issue, as it can lead to significant losses of sensor performance. In this work, a novel mutual interference model and a subsequent mitigation method are introduced for chirp sequence radars. The method integrates well into the conventional range-Doppler processing chain, and enables control over the inherent trade-off between interference suppression and signal distortion. Its properties are discussed using extensive simulations within a statistical performance analysis framework. In the investigated scenarios, the method achieved an improvement in detection performance without introducing false alarms.","PeriodicalId":150515,"journal":{"name":"2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"16 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":"131903377","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}