Pub Date : 2009-10-30DOI: 10.1017/S1759078710000462
D. Platt, L. Pettersson, D. Jakonis, Michael Salter, Joakim Hagglund
A highly integrated silicon platform (Hi-Mission) for high frequency applications is introduced. This platform utilizes heterogeneous MCM-D technology with integrated passive devices together with silicon and GaAs MMIC technology developed for the automotive UWB radar (SRR) frequency band from 77 – 81 GHz. Developments are described in the area of MCM-D process development, MMIC, integrated phased array antenna, module design and assembly process development. The demonstrator is composed of two test vehicles designed for conducted and radiated measurements respectively. Test results are presented at the component and module level.
{"title":"Integrated 79GHz UWB automotive radar front-end based on Hi-Mission MCM-D silicon platform","authors":"D. Platt, L. Pettersson, D. Jakonis, Michael Salter, Joakim Hagglund","doi":"10.1017/S1759078710000462","DOIUrl":"https://doi.org/10.1017/S1759078710000462","url":null,"abstract":"A highly integrated silicon platform (Hi-Mission) for high frequency applications is introduced. This platform utilizes heterogeneous MCM-D technology with integrated passive devices together with silicon and GaAs MMIC technology developed for the automotive UWB radar (SRR) frequency band from 77 – 81 GHz. Developments are described in the area of MCM-D process development, MMIC, integrated phased array antenna, module design and assembly process development. The demonstrator is composed of two test vehicles designed for conducted and radiated measurements respectively. Test results are presented at the component and module level.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452484","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 : 2009-10-30DOI: 10.1017/S1759078710000437
S. Huber, G. Krieger
TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) is an innovative spaceborne X-band earth observation mission that will be launched in October 2009. This paper gives an overview of the TanDEM-X mission concept, summarizes the basic products and illustrates the achievable performance. In more detail the effect of quantization on the interferometric performance is discussed. Finally new imaging techniques are outlined.
{"title":"The TanDEM-X mission: Overview and interferometric performance","authors":"S. Huber, G. Krieger","doi":"10.1017/S1759078710000437","DOIUrl":"https://doi.org/10.1017/S1759078710000437","url":null,"abstract":"TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) is an innovative spaceborne X-band earth observation mission that will be launched in October 2009. This paper gives an overview of the TanDEM-X mission concept, summarizes the basic products and illustrates the achievable performance. In more detail the effect of quantization on the interferometric performance is discussed. Finally new imaging techniques are outlined.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132533247","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 : 2009-10-30DOI: 10.1587/TRANSCOM.E93.B.2715
Masashi Tsuji, K. Umebayashi, Y. Kamiya, Yasuo Suzuki
Estimation of the number of incident signals (NIS) is an important problem for array signal processing, such as direction-of-arrival (DOA) estimation. A method for estimating the number of signals without eigendecomposition (MENSE) is superior to algorithms based on the spatial smoothing preprocessing (SSP) and the Akaike information criterion (AIC). The advantages of the MENSE can be achieved by employing the Hankel correlation matrices which can suppress the correlation between the incident coherent signals and the influence of noise. In this paper, we propose a new metric based on the multiplicity criterion to improve the accuracy of the MENSE. Computer simulation results show that the proposed method is superior to the MENSE and the SSP-AIC methods in an environment arriving closely spaced coherent signals.
{"title":"A study on the accurate estimation of the number of weak coherent signals","authors":"Masashi Tsuji, K. Umebayashi, Y. Kamiya, Yasuo Suzuki","doi":"10.1587/TRANSCOM.E93.B.2715","DOIUrl":"https://doi.org/10.1587/TRANSCOM.E93.B.2715","url":null,"abstract":"Estimation of the number of incident signals (NIS) is an important problem for array signal processing, such as direction-of-arrival (DOA) estimation. A method for estimating the number of signals without eigendecomposition (MENSE) is superior to algorithms based on the spatial smoothing preprocessing (SSP) and the Akaike information criterion (AIC). The advantages of the MENSE can be achieved by employing the Hankel correlation matrices which can suppress the correlation between the incident coherent signals and the influence of noise. In this paper, we propose a new metric based on the multiplicity criterion to improve the accuracy of the MENSE. Computer simulation results show that the proposed method is superior to the MENSE and the SSP-AIC methods in an environment arriving closely spaced coherent signals.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122123924","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 : 2009-10-30DOI: 10.23919/EUMC.2009.5296253
N. Maaref, P. Millot, C. Pichot, O. Picon
In this paper we present the development and preliminary results of an ultra-wideband Frequency Modulated Continuous Wave (FMCW) Through-The-Wall (TTW) radar prototype built at ONERA in Toulouse, France. The radar operates between 0.5 and 8 GHz in three possible subbands: 0.5–2 GHz, 1–4 GHz or 2–8 GHz depending on the type of wall. The radar has been suscessfully tested in free space and trials with a cinder block wall are on going.
{"title":"Ultra-wideband Frequency Modulated Continuous Wave synthetic aperture radar for Through-The-Wall localization","authors":"N. Maaref, P. Millot, C. Pichot, O. Picon","doi":"10.23919/EUMC.2009.5296253","DOIUrl":"https://doi.org/10.23919/EUMC.2009.5296253","url":null,"abstract":"In this paper we present the development and preliminary results of an ultra-wideband Frequency Modulated Continuous Wave (FMCW) Through-The-Wall (TTW) radar prototype built at ONERA in Toulouse, France. The radar operates between 0.5 and 8 GHz in three possible subbands: 0.5–2 GHz, 1–4 GHz or 2–8 GHz depending on the type of wall. The radar has been suscessfully tested in free space and trials with a cinder block wall are on going.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867140","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 : 2009-10-30DOI: 10.1017/S1759078710000358
A. Fasoula, H. Driessen, P. van Genderen
Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity Automatic Target Recognition (ATR) systems can be designed. A low-dimensional 2D spatial model, where information on the radar target signature is compressed, can be estimated using High Range Resolution (HRR) data from a sparse system of view angles. Incoherent tomographic processing of HRR data from a distributed surveillance system, made up of several radar nodes, is studied in this paper. A sparse angular sampling scheme is proposed, which exploits diversity due to both the distributed radar system and the target motion. The novelty is in the exploitation of this locally dense, but otherwise sparse set of viewing angles of the targets, obtained using a sparse network of radars. The de-ghosting efficiency of such a sampling scheme is demonstrated geometrically. This results in identification of minimal information resources for unambiguous estimation of a 2D target model, useful for radar target classification.
{"title":"De-ghosting of tomographic images in a radar network with sparse angular sampling","authors":"A. Fasoula, H. Driessen, P. van Genderen","doi":"10.1017/S1759078710000358","DOIUrl":"https://doi.org/10.1017/S1759078710000358","url":null,"abstract":"Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity Automatic Target Recognition (ATR) systems can be designed. A low-dimensional 2D spatial model, where information on the radar target signature is compressed, can be estimated using High Range Resolution (HRR) data from a sparse system of view angles. Incoherent tomographic processing of HRR data from a distributed surveillance system, made up of several radar nodes, is studied in this paper. A sparse angular sampling scheme is proposed, which exploits diversity due to both the distributed radar system and the target motion. The novelty is in the exploitation of this locally dense, but otherwise sparse set of viewing angles of the targets, obtained using a sparse network of radars. The de-ghosting efficiency of such a sampling scheme is demonstrated geometrically. This results in identification of minimal information resources for unambiguous estimation of a 2D target model, useful for radar target classification.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143450","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 : 2009-10-30DOI: 10.1017/S1759078710000371
O. Krasnov, G. Babur, L. Ligthart, F. van der Zwan
The article describes the IRCTR PARSAX radar system, the fully polarimetric FM-CW radar with dualorthogonal sounding signals, which has the possibility to measure all elements of the radar targets polarization scattering matrix simultaneously, in one sweep.
{"title":"Basics and first experiments demonstrating isolation improvements in the agile polarimetric FM-CW radar — PARSAX","authors":"O. Krasnov, G. Babur, L. Ligthart, F. van der Zwan","doi":"10.1017/S1759078710000371","DOIUrl":"https://doi.org/10.1017/S1759078710000371","url":null,"abstract":"The article describes the IRCTR PARSAX radar system, the fully polarimetric FM-CW radar with dualorthogonal sounding signals, which has the possibility to measure all elements of the radar targets polarization scattering matrix simultaneously, in one sweep.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305046","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 : 2009-09-01DOI: 10.23919/eumc.2009.5296150
A. Schiessl, S. Ahmed
This paper presents three-dimensional W-band images of some common explosives and substances that can be used to produce explosives. As an introduction, some information about the imaged materials (DUTs) is given. After a detailed description of the measurement setup, multiple views of the three dimensional image data are presented. Data features that could be used for detection of the explosives are proposed. At last, estimates of the thickness of the DUTs and the permittivity of the imaged substances are extracted from the image data.
{"title":"W-band imaging of explosive substances","authors":"A. Schiessl, S. Ahmed","doi":"10.23919/eumc.2009.5296150","DOIUrl":"https://doi.org/10.23919/eumc.2009.5296150","url":null,"abstract":"This paper presents three-dimensional W-band images of some common explosives and substances that can be used to produce explosives. As an introduction, some information about the imaged materials (DUTs) is given. After a detailed description of the measurement setup, multiple views of the three dimensional image data are presented. Data features that could be used for detection of the explosives are proposed. At last, estimates of the thickness of the DUTs and the permittivity of the imaged substances are extracted from the image data.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131343002","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 : 2009-09-01DOI: 10.23919/eumc.2009.5296527
F. Viani, G. Oliveri, A. Massa
The increasing demand in homeland security speeds up the development of innovative and non-invasive systems to localize and track moving objects in complex environments. In this paper the real-time localization of transceiver-free targets is addressed by means of learning by example methodology that exploits the received signal strength indicator available at the nodes of a wireless sensor network as input data. This approach uses neither dedicated sensors nor active devices put on the target to localize both idle and moving objects. The definition of a customized classifier during an offline training procedure enables the real-time generation of a probability map of presence by processing the output of the support vector machine. Some selected experimental results validate the effectiveness of the proposed methodology applied in real scenarios.
{"title":"Real-time tracking of transceiver-free objects for homeland security","authors":"F. Viani, G. Oliveri, A. Massa","doi":"10.23919/eumc.2009.5296527","DOIUrl":"https://doi.org/10.23919/eumc.2009.5296527","url":null,"abstract":"The increasing demand in homeland security speeds up the development of innovative and non-invasive systems to localize and track moving objects in complex environments. In this paper the real-time localization of transceiver-free targets is addressed by means of learning by example methodology that exploits the received signal strength indicator available at the nodes of a wireless sensor network as input data. This approach uses neither dedicated sensors nor active devices put on the target to localize both idle and moving objects. The definition of a customized classifier during an offline training procedure enables the real-time generation of a probability map of presence by processing the output of the support vector machine. Some selected experimental results validate the effectiveness of the proposed methodology applied in real scenarios.","PeriodicalId":256755,"journal":{"name":"2009 European Radar Conference (EuRAD)","volume":"39 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011391","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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