Pub Date : 2014-10-01DOI: 10.1109/RADAR.2014.7060444
Lu Xiaode, Li Jichuan, Lin Kuan, Li Daojing, Zhang Yi
The direct path signal, strong multi-path and strong moving target echoes can mask the weak target in passive coherent location (PCL) radar systems. The classical normalized least-mean squares (NLMS) algorithm is widely used in cancelling the direct path and multi-path interferences in PCL radar systems, which cannot suppress the stationary ground clutter and the strong moving target echoes simultaneously. An improved NLMS algorithm, called range-Doppler NLMS (RDNLMS), is proposed for cancelling the interferences with different delays (denoting the range information) and Doppler frequencies in PCL radar systems utilizing the Chinese digital television terrestrial broadcasting (DTTB) transmissions. The validity of the algorithm is verified by the simulative results.
{"title":"Range-Doppler NLMS (RDNLMS) algorithm for cancellation of strong moving targets in passive coherent location (PCL) radar","authors":"Lu Xiaode, Li Jichuan, Lin Kuan, Li Daojing, Zhang Yi","doi":"10.1109/RADAR.2014.7060444","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060444","url":null,"abstract":"The direct path signal, strong multi-path and strong moving target echoes can mask the weak target in passive coherent location (PCL) radar systems. The classical normalized least-mean squares (NLMS) algorithm is widely used in cancelling the direct path and multi-path interferences in PCL radar systems, which cannot suppress the stationary ground clutter and the strong moving target echoes simultaneously. An improved NLMS algorithm, called range-Doppler NLMS (RDNLMS), is proposed for cancelling the interferences with different delays (denoting the range information) and Doppler frequencies in PCL radar systems utilizing the Chinese digital television terrestrial broadcasting (DTTB) transmissions. The validity of the algorithm is verified by the simulative results.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805725","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060297
Johanna Guetlein-Holzer, A. Kirschner, Christian Speck, J. Detlefsen
For a multiple input multiple output (MIMO) radar system that uses a frequency modulated continuous wave (FMCW) signal and time domain multiplexing (TDM), different effects occur in the presence of relative motion between radar system and target. These effects have an influence on the correct position detection of the targets. Therefore, two different modulation schemes are analyzed that have the ability to overcome the issues of movement and estimate the correct target location and velocity.
{"title":"Comparison of motion compensation methods applied to a TDM FMCW MIMO radar system","authors":"Johanna Guetlein-Holzer, A. Kirschner, Christian Speck, J. Detlefsen","doi":"10.1109/RADAR.2014.7060297","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060297","url":null,"abstract":"For a multiple input multiple output (MIMO) radar system that uses a frequency modulated continuous wave (FMCW) signal and time domain multiplexing (TDM), different effects occur in the presence of relative motion between radar system and target. These effects have an influence on the correct position detection of the targets. Therefore, two different modulation schemes are analyzed that have the ability to overcome the issues of movement and estimate the correct target location and velocity.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808411","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060413
E. Brookner
Contrary to claims made Multiple Input and Multiple Output (MIMO) radars do not provide an order of magnitude or better angle resolution, accuracy and identifiability (the ability to resolve and identify targets) over conventional radars. This claim for MIMO results from making the wrong of a full/thin MIMO array to a full conventional array rather than to a conventional full/thin array. It is shown here that a conventional full/thin array radar can have the same angle accuracy, resolution and identifiability as a MIMO full/thin array. Where does the MIMO radar provide a better angle accuracy than a conventional radar? A monostatic MIMO array radar does provide a better angle accuracy than its conventional monostatic equivalent, but it is only about a factor of 1/√2 (29 percent) better and its resolution is the same. Contrary to what may be thought MIMO does not offer an advantage re barrage noise jammers or hot clutter (a jammer scattered from the ground) over a conventional array. It does offer a potential advantage re strong clutter because nulls can be adaptively put in the transmit pattern in the direction of the clutter. However this type clutter can be handled in conventional arrays by putting nulls in the direction of the clutter whose location is known.
{"title":"MIMO radar demystified and where it makes sense to use","authors":"E. Brookner","doi":"10.1109/RADAR.2014.7060413","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060413","url":null,"abstract":"Contrary to claims made Multiple Input and Multiple Output (MIMO) radars do not provide an order of magnitude or better angle resolution, accuracy and identifiability (the ability to resolve and identify targets) over conventional radars. This claim for MIMO results from making the wrong of a full/thin MIMO array to a full conventional array rather than to a conventional full/thin array. It is shown here that a conventional full/thin array radar can have the same angle accuracy, resolution and identifiability as a MIMO full/thin array. Where does the MIMO radar provide a better angle accuracy than a conventional radar? A monostatic MIMO array radar does provide a better angle accuracy than its conventional monostatic equivalent, but it is only about a factor of 1/√2 (29 percent) better and its resolution is the same. Contrary to what may be thought MIMO does not offer an advantage re barrage noise jammers or hot clutter (a jammer scattered from the ground) over a conventional array. It does offer a potential advantage re strong clutter because nulls can be adaptively put in the transmit pattern in the direction of the clutter. However this type clutter can be handled in conventional arrays by putting nulls in the direction of the clutter whose location is known.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740697","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060257
D. Staglianò, E. Giusti, S. Lischi, M. Martorella
A 3D reconstruction algorithm for non cooperative moving targets is proposed in this paper. This method exploits interferometric ISAR imaging (InISAR) to estimate the heights of the dominant scatterers with respect t o the Image Projection Plane. In particular, the interferometric phases measured from two orthogonal baselines are used to reconstruct t he third dimension from 2D-ISAR images. Some aspects that make such approach effective in a real scenario have been faced and their problems solved. In order to verify the effectiveness and the reliability of this technique, data from a suitably designed Multi-Channel ground-based radar has been used.
{"title":"3D InISAR-based target reconstruction algorithm by using a Multi-Channel ground-based radar demonstrator","authors":"D. Staglianò, E. Giusti, S. Lischi, M. Martorella","doi":"10.1109/RADAR.2014.7060257","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060257","url":null,"abstract":"A 3D reconstruction algorithm for non cooperative moving targets is proposed in this paper. This method exploits interferometric ISAR imaging (InISAR) to estimate the heights of the dominant scatterers with respect t o the Image Projection Plane. In particular, the interferometric phases measured from two orthogonal baselines are used to reconstruct t he third dimension from 2D-ISAR images. Some aspects that make such approach effective in a real scenario have been faced and their problems solved. In order to verify the effectiveness and the reliability of this technique, data from a suitably designed Multi-Channel ground-based radar has been used.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124756896","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060277
A. Glascott-Jones, N. Chantier, F. Bore, M. Wingender, M. Stackler, J. Amblard, E. Bouin, V. Monier, M. Martin, G. Jestin
This work presents a new high speed, high bandwidth Digital to Analog Converter (DAC) which enables the direct conversion of wideband Radar chirp waveforms to frequencies up to band X. The component features a number of innovative design features which enable the optimization of performance in the different Nyquist zones. These include various output shaping schemes and interface methods. Preliminary results are provided which show the performance of the circuit at output frequencies greater than 7GHz. Digital chirp patterns have been created for this component and the results of these patterns output by the DAC are presented along with the ability of the component in high speed switching applications. The component's performance can result in highly flexible and waveform agile Radar signal generation systems.
{"title":"Direct conversion to X band using a 4.5 GSps SiGe Digital to Analog Converter","authors":"A. Glascott-Jones, N. Chantier, F. Bore, M. Wingender, M. Stackler, J. Amblard, E. Bouin, V. Monier, M. Martin, G. Jestin","doi":"10.1109/RADAR.2014.7060277","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060277","url":null,"abstract":"This work presents a new high speed, high bandwidth Digital to Analog Converter (DAC) which enables the direct conversion of wideband Radar chirp waveforms to frequencies up to band X. The component features a number of innovative design features which enable the optimization of performance in the different Nyquist zones. These include various output shaping schemes and interface methods. Preliminary results are provided which show the performance of the circuit at output frequencies greater than 7GHz. Digital chirp patterns have been created for this component and the results of these patterns output by the DAC are presented along with the ability of the component in high speed switching applications. The component's performance can result in highly flexible and waveform agile Radar signal generation systems.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125210309","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060380
D. Gromek, P. Krysik, K. Kulpa, P. Samczyński, M. Malanowski
A new approach to passive bistatic radar imaging using DVB-T signals as illuminators of opportunity is presented. The concept has been verified using ground based mobile platforms as a radar receiver carrier. The paper presents an algorithm description and its verification using both simulated and real data gathered during an outdoor measurement campaign.
{"title":"Ground-based mobile passive imagery based on a DVB-T signal of opportunity","authors":"D. Gromek, P. Krysik, K. Kulpa, P. Samczyński, M. Malanowski","doi":"10.1109/RADAR.2014.7060380","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060380","url":null,"abstract":"A new approach to passive bistatic radar imaging using DVB-T signals as illuminators of opportunity is presented. The concept has been verified using ground based mobile platforms as a radar receiver carrier. The paper presents an algorithm description and its verification using both simulated and real data gathered during an outdoor measurement campaign.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422328","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060341
S. Blunt, J. Metcalf, John Jakabosky, B. Himed
A multi-waveform version of space-time adaptive processing denoted as MuW-STAP (or simply μ-STAP) was recently developed that incorporates the training data generated by secondary waveform/filter pairs into the estimation of the sample covariance matrix. This additional training data was found to improve robustness to heterogeneous clutter. Here SINR analysis is used to evaluate the μ-STAP approach under various clutter conditions and with multiple additional sets of training data obtained through the use of multiple different pulse compression filters applied to the same received data.
{"title":"SINR analysis of multi-waveform STAP","authors":"S. Blunt, J. Metcalf, John Jakabosky, B. Himed","doi":"10.1109/RADAR.2014.7060341","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060341","url":null,"abstract":"A multi-waveform version of space-time adaptive processing denoted as MuW-STAP (or simply μ-STAP) was recently developed that incorporates the training data generated by secondary waveform/filter pairs into the estimation of the sample covariance matrix. This additional training data was found to improve robustness to heterogeneous clutter. Here SINR analysis is used to evaluate the μ-STAP approach under various clutter conditions and with multiple additional sets of training data obtained through the use of multiple different pulse compression filters applied to the same received data.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131655086","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060392
C. Tripon-Canseliet, J. Martinaud, C. Renard, J. Chazelas
This document presents insights on new generation multilayer `Tile' phased array antennas with inclusion of metamaterial structures interacting with electromagnetic wave propagation in order to improve radiating performance of the antenna (reduction/mitigation of `blindness' phenomenon, reduction of side and back radiation), and frequency agility by optical control.
{"title":"Contribution of metamaterials to improvement of scan performance and reconfigurability of phased array antennas","authors":"C. Tripon-Canseliet, J. Martinaud, C. Renard, J. Chazelas","doi":"10.1109/RADAR.2014.7060392","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060392","url":null,"abstract":"This document presents insights on new generation multilayer `Tile' phased array antennas with inclusion of metamaterial structures interacting with electromagnetic wave propagation in order to improve radiating performance of the antenna (reduction/mitigation of `blindness' phenomenon, reduction of side and back radiation), and frequency agility by optical control.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133171725","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060295
S. Kristoffersen, K. V. Hoel, Oyvind Thingsrud, Emil B. Kalveland
This paper demonstrates a method for doing coherent processing on navigation radar data. The radar transmit and receive signals are connected to a separate frequency conversion unit which transfers the X-band signals to an IF. These signals are digitized in two coherent channels and processed together. The system has been tested in field trials where pulse-Doppler operation against real targets, such as vehicles was demonstrated. Also measurements on synthetic targets with known Dopplers and ranges generated with the Digital RF Memory (DRFM) system EKKO II were conducted. Additionally a real-time processor has been developed. It is based on a board with analog-to-digital converters (ADC) and field programmable gate arrays (FPGA) and a computer with a graphical processing unit (GPU). Pulse compression and Hilbert transform are implemented in the FPGA while Doppler processing and CFAR are done in the GPU. An experiment demonstrating real-time moving target detection with this hardware has been conducted.
{"title":"Digital coherent processing to enhance moving targets detection in a navigation radar","authors":"S. Kristoffersen, K. V. Hoel, Oyvind Thingsrud, Emil B. Kalveland","doi":"10.1109/RADAR.2014.7060295","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060295","url":null,"abstract":"This paper demonstrates a method for doing coherent processing on navigation radar data. The radar transmit and receive signals are connected to a separate frequency conversion unit which transfers the X-band signals to an IF. These signals are digitized in two coherent channels and processed together. The system has been tested in field trials where pulse-Doppler operation against real targets, such as vehicles was demonstrated. Also measurements on synthetic targets with known Dopplers and ranges generated with the Digital RF Memory (DRFM) system EKKO II were conducted. Additionally a real-time processor has been developed. It is based on a board with analog-to-digital converters (ADC) and field programmable gate arrays (FPGA) and a computer with a graphical processing unit (GPU). Pulse compression and Hilbert transform are implemented in the FPGA while Doppler processing and CFAR are done in the GPU. An experiment demonstrating real-time moving target detection with this hardware has been conducted.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480100","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 : 2014-10-01DOI: 10.1109/RADAR.2014.7060269
Ying Luo, Yi-jun Chen, Hua Guan, Tao-yong Li, D. Deng
Space target recognition is one of the radar's significant tasks. The separation of group targets is the basis of the target recognition when several targets are within a range cell of one radar beam. In this paper, a method for group targets separation based on high-order moment function and empirical model decomposition (EMD) is proposed. The first step is deriving the high-order moment function of the target echo signal, and then processing the imaginary parts of the high-order moment function with EMD method. We can achieve the separation of group targets according to the derivational IMF from the decomposition. Simulation is given to validate the effectiveness of the proposed method.
{"title":"Separation of space group targets based on high-order moment function and EMD","authors":"Ying Luo, Yi-jun Chen, Hua Guan, Tao-yong Li, D. Deng","doi":"10.1109/RADAR.2014.7060269","DOIUrl":"https://doi.org/10.1109/RADAR.2014.7060269","url":null,"abstract":"Space target recognition is one of the radar's significant tasks. The separation of group targets is the basis of the target recognition when several targets are within a range cell of one radar beam. In this paper, a method for group targets separation based on high-order moment function and empirical model decomposition (EMD) is proposed. The first step is deriving the high-order moment function of the target echo signal, and then processing the imaginary parts of the high-order moment function with EMD method. We can achieve the separation of group targets according to the derivational IMF from the decomposition. Simulation is given to validate the effectiveness of the proposed method.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124346833","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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