2017 18th International Radar Symposium (IRS)最新文献_第10页

Multi-channel degarbling method for SSR replies SSR应答的多通道消码方法

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008171

Adam Koutný, Martin Pelant

引用次数: 1

Ground Moving Target Indication in high resolution Synthetic Aperture Radar imaging— a comparison of selected algorithms 高分辨率合成孔径雷达成像中的地面运动目标指示——选定算法的比较

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008114

J. Drozdowicz, Milosz Watroba, P. Samczyński, A. Gromek

引用次数: 0

Micro-Doppler analysis and classification of UAVs at Ka band Ka波段无人机的微多普勒分析与分类

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008142

L. Fuhrmann, O. Biallawons, J. Klare, R. Panhuber, R. Klenke, J. Ender

{"title":"Micro-Doppler analysis and classification of UAVs at Ka band","authors":"L. Fuhrmann, O. Biallawons, J. Klare, R. Panhuber, R. Klenke, J. Ender","doi":"10.23919/IRS.2017.8008142","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008142","url":null,"abstract":"Recent critical instances have demonstrated the demand for an effective way of detecting and classifying small Unmanned Aerial Vehicles (UAVs) as they pose a serious threat in civil security. We present results of radar measurements with a one channel continuous wave system at Ka band aiming at classifying UAVs through a detailed micro-Doppler analysis. High-sensitivity measurements of different UAVs (quadcopters of different size, octocopter, helicopter, fixed-wing plane) with a large number of different trajectories and flight parameters were obtained. Our analysis is based on different time-frequency transforms (Short-Time Fourier Transform, Cadence Velocity, Cepstrogram), followed by different feature extraction methods including a singular value decomposition. We present first classification results based on a Support Vector Machine algorithm for two different cases: (i) a global classification of the measured UAVs as man-made objects against a set of simulated flying bird data, and (ii) classification and characterization of different types of UAVs. In the latter case we also extract parameters such as number of rotors, rotation rate and rotor blade length. Our first results indicate very good classification accuracies ranging between 96% and 100 %.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"8 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":"121420571","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: 41

Optimizing labelling on radar-based grid maps using active learning 利用主动学习优化基于雷达的网格地图标注

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008123

Timo Winterling, Jakob Lombacher, Markus Hahn, J. Dickmann, C. Wöhler

引用次数: 4

Wind Turbine impact to ATC radars - an assessment approach 风力涡轮机对ATC雷达的影响——一种评估方法

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008169

C. Neumann, Markus Steck

{"title":"Wind Turbine impact to ATC radars - an assessment approach","authors":"C. Neumann, Markus Steck","doi":"10.23919/IRS.2017.8008169","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008169","url":null,"abstract":"The impact of Wind Turbine (WT) echo signals on diverse types of radars has been studied world-wide and with good success understanding the interference mechanisms in principal. However, there is a lack of practical approaches to calculate the acceptance for planned wind parks near radar stations. The officials commissioned with acceptability proving often refuse WT project request based on some simple rules dealing with “disturbance area assumptions”, mostly without real verification. One principal difficulty for elaboration of quantitative assessments is the need to know details about the radar internals, which may have a large impact to the radar sensitivity regarding WT interferences. So, without knowledge of the radar signal processing mechanisms, it is nearly impossible to predict the operational degradation caused by such disturbances. The calculation tool presented here deals with WT impact assessments on Air Traffic Control (ATC) radars under knowledge of certain radar key parameters related to antenna, waveforms, signal- and data-processing. Those key parameters may be delivered by the radar manufacturer to the officials to enable the quantitative calculations. For this purpose, a quantitative assessment tool predicting WT interferences was set up using the parameters of the German ASR-S radar. The interference results are expressed as detection probability per influenced area quantile along any aircraft path over or nearby wind farms, considering WT-type specific reflectivity characteristics and the WT emplacements in the landscape. The tool has been validated with real radar measurements.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"451 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":"124549258","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

Performance study of Matched Illumination signals using adaptive range-spread target detectors 自适应距离扩展目标检测器匹配照明信号的性能研究

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008246

Avik Santra, Raja Santhanakumar, Mangesh Desai, K. Jadia, R. Srinivasan

引用次数: 0

Estimation of object position using non-linear filters 利用非线性滤波器估计目标位置

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008255

S. Konatowski, P. Kaniewski, M. Łabowski

引用次数: 1

GNSS forward scatter radar detection: Signal processing and experiment GNSS前向散射雷达探测:信号处理与实验

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008215

Changjiang Liu, Cheng Hu, Rui Wang, Xiaoyu Nie, Feifeng Liu

引用次数: 3

Extended dwell Doppler characteristics of birds and micro-UAS at l-band l波段鸟类和微型无人机的扩展驻留多普勒特性

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008144

M. Jahangir, C. Baker

{"title":"Extended dwell Doppler characteristics of birds and micro-UAS at l-band","authors":"M. Jahangir, C. Baker","doi":"10.23919/IRS.2017.8008144","DOIUrl":"https://doi.org/10.23919/IRS.2017.8008144","url":null,"abstract":"Unmanned Aerial Systems (UAS), commonly referred to as drones, are rapidly proliferating bringing about new challenges for security and safety. The reason being their small size and ability to fly low in a highly irregular manner makes them particularly difficult to detect with conventional wide-area surveillance sensors such as a scanning radar. Here, we use staring radar that employs a 2-D antenna array and appropriate signal processing to create a multibeam, 3-D, wide-area, continuously staring surveillance sensor capable of achieving high detection sensitivity, whilst providing fine Doppler resolution with update rates of fractions of a second. Whilst staring radar is able to detect miniature UAS against a background of complex clutter, the necessary high detection sensitivity means that many other small moving targets are detected, birds being a principle example. Good Doppler discrimination is central to the ability to distinguish between genuine drones and other confuser targets such as birds that are reported by the radar sensor. Results from field trials are presented illustrating the signal characteristics of rotary wing micro-drones and birds. Analysis of the detailed data features leads to refinements enabling better discrimination between low observable micro-drones and birds.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"375 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":"115896212","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: 15

TanDEM-X global forest/non-forest map generation TanDEM-X全球森林/非森林地图生成

2017 18th International Radar Symposium (IRS) Pub Date : 2017-06-01 DOI: 10.23919/IRS.2017.8008158

J. Bueso-Bello, M. Martone, Carolina González, Christopher Wecklich, D. Schulze, P. Rizzoli, G. Krieger, M. Zink

引用次数: 3