Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726691
M. E. Asghar, S. B. J. Gowdu, J. Nagel, F. Baumgärtner, R. Stephan, M. Hein
Realistic testing of automotive radar systems in a virtual electromagnetic environment requires a high degree of controllability, thereby ensuring reproducibility of results. Parasitic reflections from installed structures surrounding the test environment can produce false or ghost targets compromising the reliability of measurement results. Before we stimulate the radar with virtual targets using a target simulator, it is necessary to eliminate the clutter and unwanted scatterers as much possible. We use a programmable reference radar sensor with known performance as well as a state-of-the-art commercially available automotive radar sensor to identify unwanted scatterers in our research facility “Virtual Road Simulation and Test Area”. Initial measurements revealed unwanted reflections exceeding a certain threshold that pose as ghost targets leading to false positive detections and classification of objects. Based on a thorough analysis of results, an optimal absorber configuration is proposed. Results indicate a significant reduction of parasitic reflections obtaining a low-clutter environment for over-the-air radar testing.
{"title":"Evaluation of absorber configuration for a low clutter environment for over-the-air automotive radar testing","authors":"M. E. Asghar, S. B. J. Gowdu, J. Nagel, F. Baumgärtner, R. Stephan, M. Hein","doi":"10.1109/ICMIM.2019.8726691","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726691","url":null,"abstract":"Realistic testing of automotive radar systems in a virtual electromagnetic environment requires a high degree of controllability, thereby ensuring reproducibility of results. Parasitic reflections from installed structures surrounding the test environment can produce false or ghost targets compromising the reliability of measurement results. Before we stimulate the radar with virtual targets using a target simulator, it is necessary to eliminate the clutter and unwanted scatterers as much possible. We use a programmable reference radar sensor with known performance as well as a state-of-the-art commercially available automotive radar sensor to identify unwanted scatterers in our research facility “Virtual Road Simulation and Test Area”. Initial measurements revealed unwanted reflections exceeding a certain threshold that pose as ghost targets leading to false positive detections and classification of objects. Based on a thorough analysis of results, an optimal absorber configuration is proposed. Results indicate a significant reduction of parasitic reflections obtaining a low-clutter environment for over-the-air radar testing.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626551","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}
Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726648
Carlos Moreno Leon, M. González-Huici, T. Dallmann
One important aspect in the design of a generic radar target simulator is the level of complexity incorporated in the generation of scenarios. The trade-off between the expected fidelity in the generation of scenarios and the computational constraints in the target simulation system raises alternatives to model-based approaches. In this paper we present a data-driven method for the generation of road scenarios in the context of automotive radar target simulation. The method characterizes the scenarios relying on radar recordings and prior information on the testing set-up. The recorded data is processed in order to play back the scenario with a radar target simulator. This is relevant, for instance, so that certain functionalities of the radar under test can be evaluated and tuned in reproducible conditions. The presented data-driven method is applied to one particular road scenario and validated in simulation experiments.
{"title":"Data-driven Generation of Road Scenarios for Radar Target Simulation in Automotive Context","authors":"Carlos Moreno Leon, M. González-Huici, T. Dallmann","doi":"10.1109/ICMIM.2019.8726648","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726648","url":null,"abstract":"One important aspect in the design of a generic radar target simulator is the level of complexity incorporated in the generation of scenarios. The trade-off between the expected fidelity in the generation of scenarios and the computational constraints in the target simulation system raises alternatives to model-based approaches. In this paper we present a data-driven method for the generation of road scenarios in the context of automotive radar target simulation. The method characterizes the scenarios relying on radar recordings and prior information on the testing set-up. The recorded data is processed in order to play back the scenario with a radar target simulator. This is relevant, for instance, so that certain functionalities of the radar under test can be evaluated and tuned in reproducible conditions. The presented data-driven method is applied to one particular road scenario and validated in simulation experiments.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123073290","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}
Pub Date : 2019-04-01DOI: 10.1109/icmim.2019.8726555
{"title":"ICMIM 2019 General Chair Message","authors":"","doi":"10.1109/icmim.2019.8726555","DOIUrl":"https://doi.org/10.1109/icmim.2019.8726555","url":null,"abstract":"","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132693825","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}
Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726758
Aitor Correas-Serrano, M. González-Huici
Mutual interference in automotive radar scenarios is going to become a major concern as the density of vehicles with radar sensors in the roads increases. The present work tackles the problem tackles the problem of frequency modulated continuous wave (FMCW) to FMCW interference. In this context, we propose a signal processing technique to blindly identify and remove interference by using the fast Orthogonal Matching Pursuit (OMP) algorithm to project the interference signals in a reduced chirplet basis, and separate it from the target signal with minimal loss of information. Significant reduction of the noise-plus-interference levels are observed in measured data acquired with state of the art automotive sensors.
{"title":"Sparse Reconstruction of Chirplets for Automotive FMCW Radar Interference Mitigation","authors":"Aitor Correas-Serrano, M. González-Huici","doi":"10.1109/ICMIM.2019.8726758","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726758","url":null,"abstract":"Mutual interference in automotive radar scenarios is going to become a major concern as the density of vehicles with radar sensors in the roads increases. The present work tackles the problem tackles the problem of frequency modulated continuous wave (FMCW) to FMCW interference. In this context, we propose a signal processing technique to blindly identify and remove interference by using the fast Orthogonal Matching Pursuit (OMP) algorithm to project the interference signals in a reduced chirplet basis, and separate it from the target signal with minimal loss of information. Significant reduction of the noise-plus-interference levels are observed in measured data acquired with state of the art automotive sensors.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442845","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}
Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726675
Sungdo Choi, Byungkwan Kim, Jongseok Kim, D. Kim, Hyun-Woong Cho
Radar-based environment mapping is considered as one of the key technology for highly automated driving. This paper presents an efficient radar map generation based on newly proposed Doppler coherent focusing Direction-Of-Arrival (DOA) method. This method consists of Doppler coherent Angle-Of-Interest (AOI) prediction and DOA steering vector adaptation. The simulation shows that the proposed DOA methods outperformed the conventional approach in both computational cost and radar grid map resolution. In addition, real data obtained from a 77GHz radar sensor are presented to show the effectiveness of the proposed approach practically.
{"title":"Doppler Coherent Focusing DOA Method for Efficient Radar Map Generation","authors":"Sungdo Choi, Byungkwan Kim, Jongseok Kim, D. Kim, Hyun-Woong Cho","doi":"10.1109/ICMIM.2019.8726675","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726675","url":null,"abstract":"Radar-based environment mapping is considered as one of the key technology for highly automated driving. This paper presents an efficient radar map generation based on newly proposed Doppler coherent focusing Direction-Of-Arrival (DOA) method. This method consists of Doppler coherent Angle-Of-Interest (AOI) prediction and DOA steering vector adaptation. The simulation shows that the proposed DOA methods outperformed the conventional approach in both computational cost and radar grid map resolution. In addition, real data obtained from a 77GHz radar sensor are presented to show the effectiveness of the proposed approach practically.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132413245","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}
Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726679
P. Wang, D. Millar, K. Parsons, R. Ma, P. Orlik
In this paper, we provide theoretical analysis on range estimation in frequency modulated continuous wave (FMCW) systems when the source nonlinearity is present. Existing literature on the effect of source nonlinearity on the range estimation is either based on a heuristic approach or limited to specific algorithms. To provide a unified analysis, we introduce the framework of misspecified Cramér-Rao bound (MCRB) and derive analytical lower bounds on the range estimation. Our analysis reveals that the range estimation accuracy is a function of the nonlinearity function, system parameters (e.g., bandwidth, sampling frequency) and noise variance. It is also noted that our result converges to the conventional accuracy analysis for range estimation when the nonlinearity becomes negligible. Finally, numerical results are provided to verify the analytical bounds.
{"title":"Range Accuracy Analysis for FMCW Systems with Source Nonlinearity","authors":"P. Wang, D. Millar, K. Parsons, R. Ma, P. Orlik","doi":"10.1109/ICMIM.2019.8726679","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726679","url":null,"abstract":"In this paper, we provide theoretical analysis on range estimation in frequency modulated continuous wave (FMCW) systems when the source nonlinearity is present. Existing literature on the effect of source nonlinearity on the range estimation is either based on a heuristic approach or limited to specific algorithms. To provide a unified analysis, we introduce the framework of misspecified Cramér-Rao bound (MCRB) and derive analytical lower bounds on the range estimation. Our analysis reveals that the range estimation accuracy is a function of the nonlinearity function, system parameters (e.g., bandwidth, sampling frequency) and noise variance. It is also noted that our result converges to the conventional accuracy analysis for range estimation when the nonlinearity becomes negligible. Finally, numerical results are provided to verify the analytical bounds.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128828467","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}
Pub Date : 2019-04-01DOI: 10.1109/ICMIM.2019.8726832
Eric Klinefelter, J. Nanzer
A new method of radar-based vehicle velocity estimation using correlation interferometry is presented. Based on a distributed receive array, this method enables direct measurement of the angular velocity of ground surface scatterers moving through the radar field of view. A 16.9 GHz active distributed array is implemented using a continuous-wave transmitter and a distributed receiving array with a baseline extending up to 10λ. This method is verified by detecting the ground speed from a moving vehicle. A simple heuristic estimator was developed that achieved a root-mean-square error (RMSE) of 0.30 m/s.
{"title":"Velocity Estimation with a Distributed Array for Autonomous Ground Vehicles","authors":"Eric Klinefelter, J. Nanzer","doi":"10.1109/ICMIM.2019.8726832","DOIUrl":"https://doi.org/10.1109/ICMIM.2019.8726832","url":null,"abstract":"A new method of radar-based vehicle velocity estimation using correlation interferometry is presented. Based on a distributed receive array, this method enables direct measurement of the angular velocity of ground surface scatterers moving through the radar field of view. A 16.9 GHz active distributed array is implemented using a continuous-wave transmitter and a distributed receiving array with a baseline extending up to 10λ. This method is verified by detecting the ground speed from a moving vehicle. A simple heuristic estimator was developed that achieved a root-mean-square error (RMSE) of 0.30 m/s.","PeriodicalId":225972,"journal":{"name":"2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128875257","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}
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