Pub Date : 2016-05-10DOI: 10.1109/IRS.2016.7497323
U. Tan, O. Rabaste, C. Adnet, F. Arlery, J. Ovarlez
In this paper, a discussion is made on the optimization methods that can solve the low autocorrelation sidelobes problem for polyphase sequences. This paper starts with a description and a comparison of two algorithms that are commonly used in the literature: a stochastic method and a deterministic one (a gradient descent). Then, an alternative method based on the Random Walk Metropolis-Hastings algorithm is proposed, that takes the gradient as a search direction. It provides better results than a steepest descent alone. Finally, this autocorrelation question is handled differently, considering a mismatched filter. We will see that a mismatched filter performs impressively well on optimized sequences.
{"title":"Optimization methods for solving the low autocorrelation sidelobes problem","authors":"U. Tan, O. Rabaste, C. Adnet, F. Arlery, J. Ovarlez","doi":"10.1109/IRS.2016.7497323","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497323","url":null,"abstract":"In this paper, a discussion is made on the optimization methods that can solve the low autocorrelation sidelobes problem for polyphase sequences. This paper starts with a description and a comparison of two algorithms that are commonly used in the literature: a stochastic method and a deterministic one (a gradient descent). Then, an alternative method based on the Random Walk Metropolis-Hastings algorithm is proposed, that takes the gradient as a search direction. It provides better results than a steepest descent alone. Finally, this autocorrelation question is handled differently, considering a mismatched filter. We will see that a mismatched filter performs impressively well on optimized sequences.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129429165","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497369
Y. Averyanova, F. Yanovsky
In this paper the possibility to distinguish hydrometeors with similar polarization properties inside the reflecting volume and estimating their differential impact onto polarization properties of reflected signal is made. The results are important for different practical applications of radar meteorology including drop size distribution estimate, rainfall intensity estimate, wind speed measurement, turbulence and strong wind shear detection.
{"title":"An approach to hydrometeors discrimination with similar polarization properties within the resolution volume","authors":"Y. Averyanova, F. Yanovsky","doi":"10.1109/IRS.2016.7497369","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497369","url":null,"abstract":"In this paper the possibility to distinguish hydrometeors with similar polarization properties inside the reflecting volume and estimating their differential impact onto polarization properties of reflected signal is made. The results are important for different practical applications of radar meteorology including drop size distribution estimate, rainfall intensity estimate, wind speed measurement, turbulence and strong wind shear detection.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129690593","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497289
J. Lubczonek
Radar sensor location planning is the first stage of sensor network designing. Observational sensors, i.e. radars, often need to perform spatial analyses to determine an effective surveillance of an area. Currently remote sensing sensors, like airborne LIDAR, are able to collect high density data of the Earth surface. In this paper is analysed application of LIDAR data for determination of radar sensor location.
{"title":"Location determination of radar sensors by using LIDAR data","authors":"J. Lubczonek","doi":"10.1109/IRS.2016.7497289","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497289","url":null,"abstract":"Radar sensor location planning is the first stage of sensor network designing. Observational sensors, i.e. radars, often need to perform spatial analyses to determine an effective surveillance of an area. Currently remote sensing sensors, like airborne LIDAR, are able to collect high density data of the Earth surface. In this paper is analysed application of LIDAR data for determination of radar sensor location.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130342994","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497300
I. Balajti, Ferenc Hajdu
New scientific findings always have historical roots, which are important to know for radar researchers. Different ideas and view points from the radar building beginnings are helping us to get the all picture of our research subjects, when we are trying to develop new radar systems on modern, up-to-date technology. Whereas Hungarian radar manufacturing had a relatively small impact on the radar technology compared to larger countries, their experts and scientists have achieved nevertheless significant results all over the World. It draws the attention to their small radar community. This paper is a brief summary of the facts are became public late after WWII.
{"title":"Radar developments in Hungary during World War II","authors":"I. Balajti, Ferenc Hajdu","doi":"10.1109/IRS.2016.7497300","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497300","url":null,"abstract":"New scientific findings always have historical roots, which are important to know for radar researchers. Different ideas and view points from the radar building beginnings are helping us to get the all picture of our research subjects, when we are trying to develop new radar systems on modern, up-to-date technology. Whereas Hungarian radar manufacturing had a relatively small impact on the radar technology compared to larger countries, their experts and scientists have achieved nevertheless significant results all over the World. It draws the attention to their small radar community. This paper is a brief summary of the facts are became public late after WWII.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129234899","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497395
K. Jędrzejewski
The paper presents the results of research on a histogram-based approach to numerical analysis of statistical distributions of signals in radar detection systems. The idea of this method consists in the numerical calculation of histogram equivalents of probability density functions or cumulative density functions of signals after each stage of a signal processing path. The considerations are illustrated by simulation examples. Their results are compared to the results of Monte Carlo simulations.
{"title":"Numerical analysis of signal distribution propagation in radar detection procedures","authors":"K. Jędrzejewski","doi":"10.1109/IRS.2016.7497395","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497395","url":null,"abstract":"The paper presents the results of research on a histogram-based approach to numerical analysis of statistical distributions of signals in radar detection systems. The idea of this method consists in the numerical calculation of histogram equivalents of probability density functions or cumulative density functions of signals after each stage of a signal processing path. The considerations are illustrated by simulation examples. Their results are compared to the results of Monte Carlo simulations.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126787742","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497359
Stefan Beer, U. Fuchs
This work describes efficient search strategies for an LEO surveillance Radar. A short introduction on space debris and space situational awareness is given. Basics on the orbits of satellite objects are then discussed. Based on these an optimized surveillance method and search area for the Radar is chosen. Finally it is discussed how different methods like sequentially searching in a near and far range sector or an angle-dependent waveform design lead to a reduced necessary power aperture product and thus to lower hardware costs.
{"title":"Efficient search strategies for a low earth orbit surveillance radar","authors":"Stefan Beer, U. Fuchs","doi":"10.1109/IRS.2016.7497359","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497359","url":null,"abstract":"This work describes efficient search strategies for an LEO surveillance Radar. A short introduction on space debris and space situational awareness is given. Basics on the orbits of satellite objects are then discussed. Based on these an optimized surveillance method and search area for the Radar is chosen. Finally it is discussed how different methods like sequentially searching in a near and far range sector or an angle-dependent waveform design lead to a reduced necessary power aperture product and thus to lower hardware costs.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122423808","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497353
Sang Van Doan, J. Veselý, P. Janu, P. Hubáček, Xuan Luong Tran
Direction finding (DF) system using phase interferometer of long baselines gives high accuracy of angle of arrival (AOA), however, it also involves phase ambiguity and phase error. The paper presents a measurement of phase interferometer system, which was configured with three and four antenna elements, providing information of phase error. Moreover, a method including rotation of measured phase differences, labeling the phase lines and rounding value of phase difference was applied for determination of unambiguous AOA. The algorithm of AOA calculation was fast and optimized. The method was verified by experimental measurement combining with signal processing in MATLAB environment. The RMS error of phase measurement was 5.4° and RMS error of AOA determination was around 0.09°.
{"title":"Optimized algorithm for solving phase interferometer ambiguity","authors":"Sang Van Doan, J. Veselý, P. Janu, P. Hubáček, Xuan Luong Tran","doi":"10.1109/IRS.2016.7497353","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497353","url":null,"abstract":"Direction finding (DF) system using phase interferometer of long baselines gives high accuracy of angle of arrival (AOA), however, it also involves phase ambiguity and phase error. The paper presents a measurement of phase interferometer system, which was configured with three and four antenna elements, providing information of phase error. Moreover, a method including rotation of measured phase differences, labeling the phase lines and rounding value of phase difference was applied for determination of unambiguous AOA. The algorithm of AOA calculation was fast and optimized. The method was verified by experimental measurement combining with signal processing in MATLAB environment. The RMS error of phase measurement was 5.4° and RMS error of AOA determination was around 0.09°.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128561314","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497332
B. Yılmaz, C. Ozdemir
In this work, we present the experimental results and the formed radar images of Through-the-Wall Imaging Radar (TWIR) experiments that were conducted by our recently developed radar sensor. Experiments towards to detection and imaging of both the stationary and the moving targets were conducted. A back-projection type focusing algorithm was applied to focus the raw radar images. The resultant measured TWIR images with good resolution features in both depth and cross-range domain have demonstrated the notable performance of our radar sensor.
{"title":"Through-the-wall imaging radar experiments based on 8-element vivaldi radar sensor","authors":"B. Yılmaz, C. Ozdemir","doi":"10.1109/IRS.2016.7497332","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497332","url":null,"abstract":"In this work, we present the experimental results and the formed radar images of Through-the-Wall Imaging Radar (TWIR) experiments that were conducted by our recently developed radar sensor. Experiments towards to detection and imaging of both the stationary and the moving targets were conducted. A back-projection type focusing algorithm was applied to focus the raw radar images. The resultant measured TWIR images with good resolution features in both depth and cross-range domain have demonstrated the notable performance of our radar sensor.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253987","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497347
Z. Ding, P. Moo
In this paper, an IMM-NNJPDA tracker was evaluated to test its capability of handling sharp turn motions for ships. With the flexibility of disabling one of the two models, two additional trackers are available: a Constant Velocity (CV) model NNJPDA (CV-NNJPDA) tracker and a Singer model NNJPDA (Singer-NNJPDA) tracker. All three trackers were evaluated using a recorded High Frequency Surface Wave Radar (HFSWR) data set involving a control vessel undergoing sharp turn.
{"title":"Design of an IMM-NNJPDA tracker for HFSWR","authors":"Z. Ding, P. Moo","doi":"10.1109/IRS.2016.7497347","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497347","url":null,"abstract":"In this paper, an IMM-NNJPDA tracker was evaluated to test its capability of handling sharp turn motions for ships. With the flexibility of disabling one of the two models, two additional trackers are available: a Constant Velocity (CV) model NNJPDA (CV-NNJPDA) tracker and a Singer model NNJPDA (Singer-NNJPDA) tracker. All three trackers were evaluated using a recorded High Frequency Surface Wave Radar (HFSWR) data set involving a control vessel undergoing sharp turn.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117225920","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 : 2016-05-10DOI: 10.1109/IRS.2016.7497331
Xiao Dong, Yunhua Zhang, W. Zhai, Xiang Gu, Xiaojin Shi, Xueyan Kang
In this paper, we apply sparse optimization method to synthetic aperture radar (SAR) imaging on the airborne data of a Ku-band SAR using noise waveforms. The SAR system transmits chaotic pulse waveforms at three carrier frequencies (13.7GHz, 13.9GHz and 14.1GHz). Each frequency channel has a same bandwidth of 220MHz and the total bandwidth covered by the three channels is 620MHz. According to the compressed sensing (CS) theory and the randomness property of noise signal, we can uniformly down sample the echo data with a rate below the Nyquist sampling rate. Effects of low-rate sampling on noise radar imaging are discussed with simulated 1-D data presented. The reconstruction of SAR image from low-rate samples is based on our recently proposed maximum a posterior (MAP) estimation method, which is developed from the sparse optimization techniques in CS. Experimental results are presented to show the effectiveness of our algorithm.
{"title":"SAR imaging with noise waveform and low sampling rate based on sparse optimization","authors":"Xiao Dong, Yunhua Zhang, W. Zhai, Xiang Gu, Xiaojin Shi, Xueyan Kang","doi":"10.1109/IRS.2016.7497331","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497331","url":null,"abstract":"In this paper, we apply sparse optimization method to synthetic aperture radar (SAR) imaging on the airborne data of a Ku-band SAR using noise waveforms. The SAR system transmits chaotic pulse waveforms at three carrier frequencies (13.7GHz, 13.9GHz and 14.1GHz). Each frequency channel has a same bandwidth of 220MHz and the total bandwidth covered by the three channels is 620MHz. According to the compressed sensing (CS) theory and the randomness property of noise signal, we can uniformly down sample the echo data with a rate below the Nyquist sampling rate. Effects of low-rate sampling on noise radar imaging are discussed with simulated 1-D data presented. The reconstruction of SAR image from low-rate samples is based on our recently proposed maximum a posterior (MAP) estimation method, which is developed from the sparse optimization techniques in CS. Experimental results are presented to show the effectiveness of our algorithm.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117226579","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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