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.2016.7497395
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.2016.7497296
A. Diewald
The author reports about the progress of an in-house developed radar simulator for active and passive electromagnetic sensing. The goal of the development is to create a very fast simulation tool with an analytical approach. In this paper, the analytical description for the coupling between the radar antennas over radar scatterers is described. The scattering parameters including the phase information is calculated. Two examples are given to prove the feasibility of the approach.
{"title":"Analytical coupling simulation on radar targets","authors":"A. Diewald","doi":"10.1109/IRS.2016.7497296","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497296","url":null,"abstract":"The author reports about the progress of an in-house developed radar simulator for active and passive electromagnetic sensing. The goal of the development is to create a very fast simulation tool with an analytical approach. In this paper, the analytical description for the coupling between the radar antennas over radar scatterers is described. The scattering parameters including the phase information is calculated. Two examples are given to prove the feasibility of the approach.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"33 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":"134005817","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.2016.7497265
D. Gromek, M. Urbanski, P. Krysik, P. Samczyński, A. Abramowicz, K. Kulpa
This paper presents an analog RF front-end for FMCW radars, designed as a single PCB module, operating in C-band (5-6 GHz) frequencies. The presented RF front-end part is characterized by its relatively small size, small weight and low power consumption. It is possible to use it in different radar applications. In this paper the design process with both laboratory and outdoor measurement results of the manufactured module are presented. For the outdoor measurement the designed RF front-end part was tested as a compact RF module for SAR radars. The results of these tests are also shown in this paper.
{"title":"Two channel balanced RF FMCW FrontEnd for radar applications","authors":"D. Gromek, M. Urbanski, P. Krysik, P. Samczyński, A. Abramowicz, K. Kulpa","doi":"10.1109/IRS.2016.7497265","DOIUrl":"https://doi.org/10.1109/IRS.2016.7497265","url":null,"abstract":"This paper presents an analog RF front-end for FMCW radars, designed as a single PCB module, operating in C-band (5-6 GHz) frequencies. The presented RF front-end part is characterized by its relatively small size, small weight and low power consumption. It is possible to use it in different radar applications. In this paper the design process with both laboratory and outdoor measurement results of the manufactured module are presented. For the outdoor measurement the designed RF front-end part was tested as a compact RF module for SAR radars. The results of these tests are also shown in this paper.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"8 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":"133217881","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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