2017 18th International Radar Symposium (IRS)最新文献_第6页

Passive polarimetric reconstruction of extended dipole target 扩展偶极子目标的被动极化重建

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008240

Il-Young Son, B. Yazıcı

{"title":"Passive polarimetric reconstruction of extended dipole target","authors":"Il-Young Son, B. Yazıcı","doi":"10.23919/IRS.2017.8008240","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008240","url":null,"abstract":"We present a novel method for passive radar that simultaneously reconstructs the scene reflectivity and polarimetric states of stationary targets. Our method uses a spatially sparse distribution of polarimetrically diverse receivers to measure the backscattered signal of a scene illuminated by a source of opportunity. Our data model explicitly accounts for polarization and anisotropy of the target which is inherent in the multistatic configuration. We assume that each receiver is equipped with a pair of orthogonally polarized antennas, and form data as the pairwise correlation of the signal measured at different receivers. This results in the data being a linear mapping of the tensor product between two three-dimensional vector valued functions which represent the reflectivity and polarmetric states of the target. This tensor product can be represented as an unknown rank-1 operator with matrix-valued kernel. After discretization, this unknown operator can be modeled as an 4th order tensor. We approach recovery of this unknown tensor from an optimization framework, exploiting its known structure. We demonstrate the performance of our approach with numerical simulations, and observe improved performance over the generalized likelihood ratio test approach.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126262920","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

Novel method for radar word extraction in the syntactic model of multi-function radar 多功能雷达句法模型中雷达词提取的新方法

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008245

Jian Ou, Yongguang Chen, F. Zhao, Xiaofeng Ai, Jianhua Yang, Qihua Wu

引用次数: 5

General concept of reduction process for big data obtained by interferometric methods 干涉法获得的大数据约简过程的一般概念

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008212

M. Włodarczyk-Sielicka, A. Stateczny

{"title":"General concept of reduction process for big data obtained by interferometric methods","authors":"M. Włodarczyk-Sielicka, A. Stateczny","doi":"10.23919/IRS.2017.8008212","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008212","url":null,"abstract":"Interferometric sonar systems apply the phase content of the sonar signal to measure the angle of a wave front returned from the seafloor or from a target. It collect a big data - datasets that are so large or complex that traditional data processing application software is inadequate to deal with them. The recording a large number of data is associated with the difficulty of their efficient use. So data have to be reduced. The main goal of new reduction method developed by the authors is that, the data after reduction will not be an interpolated value. The proposed method is consists of two main stage: the grouping of data and the generalization of data. The first stage consists of two steps: initial division and clustering. In the first step, the area will be divided into a grid of squares. The maximum level of generalization of the grid will be founded and its size will be defined. In the second step of data grouping, namely clustering artificial neural networks will be used. Artificial neural networks are good alternative to traditional methods of clustering data. The authors decided to use artificial intelligence methods during the processing of data obtained by interferometric methods because it is novel approach to such issues and provides satisfactory results. The author's goal is to represent each group by a single sample depending on the compilation scale of final product. The article contains a detailed description of the proposed method.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973729","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

Detection of rain areas with airborne radar 用机载雷达探测雨区

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008094

D. Nagel

引用次数: 8

Comparison of azimuth estimation in PCL and MLAT systems applied on measured data PCL和MLAT系统在实测数据上的方位角估计比较

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008103

T. Shejbal, Radek Plšek, A. Hermanek

引用次数: 2

Comparison of pedestrian reflectivities at 24 and 300 GHz 24 GHz和300 GHz行人反射率比较

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008118

E. Marchetti, R. Du, F. Norouzian, E. Hoare, Thuy-Yung Tran, M. Cherniakov, M. Gashinova

引用次数: 13

Maritime moving target detection technique for passive bistatic radar with GNSS transmitters 基于GNSS发射机的无源双基地雷达海上运动目标检测技术

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008214

F. Santi, D. Pastina, M. Bucciarelli

{"title":"Maritime moving target detection technique for passive bistatic radar with GNSS transmitters","authors":"F. Santi, D. Pastina, M. Bucciarelli","doi":"10.23919/IRS.2017.8008214","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008214","url":null,"abstract":"The paper puts forward a moving target detection technique for passive bistatic radar systems based on GNSS signals for maritime surveillance applications. If from one hand navigation satellites are extremely attractive as opportunistic sources for passive radar due to their global coverage and the availability of multiple satellites, on the other hand they provide a restricted power budget. To strengthen the target energy sufficiently to allow its detection, observation time has to be increased up to several tens of seconds. This requires the need to develop innovative techniques able to deal with such long integration times. In this paper, a local plane-based maritime moving target detection (M-MTD) technique is proposed. Such a technique performs the integration of the received signal for a long integration time, properly taking into account the migration of the moving target during the entire dwell time. Moreover, it provides target detection in the local plane that represents the section of maritime area covered by the radar antenna. Since this plane is common to multiple transmitters, the proposed technique can be easily extended to the multistatic case, which is the bigger benefit in using GNSS sources. Simulated and experimental results confirm the effectiveness of the proposed M-MTD technique to detect ship targets, not detectable with conventional MTD techniques, with the GNSS-based passive radar.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133982086","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: 20

Feature-based gesture classification by means of high resolution radar measurements 基于高分辨率雷达测量的特征手势分类

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008239

Johannes Fink, Houssem Guissouma, F. Jondral

{"title":"Feature-based gesture classification by means of high resolution radar measurements","authors":"Johannes Fink, Houssem Guissouma, F. Jondral","doi":"10.23919/IRS.2017.8008239","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008239","url":null,"abstract":"Continuously improving analog and digital hardware nowadays enables powerful waveforms at low costs and thus makes radar an attractive and cheap sensor for new fields of application. One such field is human machine interfaces (HMI). In this work, gesture classification based on high resolution radar measurements as new type of HMI is investigated. For this purpose, wideband radar measurements of human hand and body gestures at a center frequency of 60.5 GHz are recorded. As waveform, a sequence of linear frequency modulated (LFM) chirps with a bandwidth of 7 GHz is employed, allowing simultaneous high resolution measurements of range and radial velocity of multiple targets. Eight different gestures have been studied in this work. From the detector output, different features providing information of the relevant body parts are extracted using a proposed algorithm. These features of both training and test measurements are fed into the following classifiers: 1-nearest neighbor, p-nearest neighbor and polynomial classifier. It is shown, that the proposed radar signal processing, filtering and feature extraction methods yield very promising classification rates of over 95 % on the given data.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133842552","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

A ray launching approach for modeling an FMCW radar system FMCW雷达系统的射线发射建模方法

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008120

N. Hirsenkorn, Paul Subkowski, T. Hanke, Alexander Schaermann, A. Rauch, R. Rasshofer, E. Biebl

引用次数: 33

STAP moving target position estimation accuracy improvement and false detection recognition using a priori road information 基于先验道路信息的STAP运动目标位置估计精度提高及误检识别

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008116

A. B. C. da Silva, S. Baumgartner

引用次数: 3