Mengmeng Ge, G. Cui, Xianxiang Yu, D. Huang, L. Kong
{"title":"Mainlobe jamming suppression via blind source separation","authors":"Mengmeng Ge, G. Cui, Xianxiang Yu, D. Huang, L. Kong","doi":"10.1109/RADAR.2018.8378682","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378682","url":null,"abstract":"This paper deals with the suppression problem of mainlobe jamming with high power to achieve the direction of arrival (DOA) estimation of weak target for phased array radar. A novel algorithm involving two-step process is introduced. Specifically, we first estimate the steer vector and the waveform of mainlobe jamming by resorting to blind source separation (BSS) algorithm. Further, mainlobe jamming is cancelled in multiple signal classification (MUSIC) spectrum and the DOAs of weak targets are estimated. Finally, we assess the performance of the proposed algorithm through numerical simulations showing its capability to suppress mainlobe jamming.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125592805","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}
R. A. Carolina Flores, G. F. Almeida, G. Rodrigues Tejerina, G. Fraidenraich, J. Candido, M. D. Yacoub, M. A. M. Miranda, A. Bertetich, J. R. Moreira Neto
{"title":"Radar coverage over irregular terrain: A practical algorithm for multipath propagation","authors":"R. A. Carolina Flores, G. F. Almeida, G. Rodrigues Tejerina, G. Fraidenraich, J. Candido, M. D. Yacoub, M. A. M. Miranda, A. Bertetich, J. R. Moreira Neto","doi":"10.1109/RADAR.2018.8378766","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378766","url":null,"abstract":"In this paper, the impact of the multipath reflections over irregular terrain profiles on the performance of radar detection is analyzed through the prediction of detection coverage in a radar system. To this end, we propose a geometric algorithm for the search of reflection rays over real irregular terrain, which is described by the earth's curvature, shadowing regions, and the knowledge of the target positions. The reflection points are based on the difference between incident and reflected grazing angles as a function of the range parameter. The analytical formulation is given by an ordinary differential equation (ODE), which improves the solution by incorporating non-linear modeling into irregular terrain surface. The probability of detection is quantified by the Marcum-Q function for a set of targets, which is extended to contain the effect of the antenna pattern on the multipath environment for a given signal-to-noise ratio value and probability of false alarm. Figures present vertical profiles and 360 degrees coverage. The new solution reveals the strong influence of the topographic profile on the multipath phenomenon and consequently on the detection probability performance of radar system.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122269514","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}
{"title":"Dual-function FDA MIMO radar-communications system employing costas signal waveforms","authors":"S. Y. Nusenu, Wen-qin Wang","doi":"10.1109/RADAR.2018.8378526","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378526","url":null,"abstract":"Recently, the dual use of single waveform for joint radar and communications operation has gained significant attention. In this paper, we put forward frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar employing Costas signal waveforms for information symbol to be embedded when radiated. We use Costas frequency codes to implement the FDA MIMO radar operation (i.e., primary function), while embedding communication symbol, for instance, phase shift keying (PSK), in each Costas frequency code for communication operation (i.e., secondary function). We utilize standard ratio testing at the communication receiver side to detect the embedded PSK symbols. Furthermore, we analyzed the symbol error rate (SER), signal-to-interference-plus-noise ratio (SINR), transmit beampattern and communication data rate. Numerical results have verified the effectiveness of the proposed system. The proposed system can also be use for low probability of interception (LPI) radar applications because it produce random-like energy distributed beampattern.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114197637","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}
{"title":"Moving target detection under sparse foliage","authors":"M. Davis","doi":"10.1109/RADAR.2018.8378631","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378631","url":null,"abstract":"Foliage Penetration Radar has been used for detecting and characterizing objects under dense foliage. It normally requires a long wavelength and ultra-wideband waveforms for resolution, along with operation in a dense RF environments. However, when detection of slowly moving targets are desired in sparse foliage; a new approach is available for discriminating the vehicle, animals or people from the internal motion of foliage. This work will evaluate evolving techniques for image formation and signal processing to detect these objects.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115978930","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}
{"title":"Supporting of cylindrical polarimetrie phased array radar development using configurable phased array demonstrators (CPAD)","authors":"Sudantha Perera, Zhe Li, Yan Zhang, Guifu Zhang","doi":"10.1109/RADAR.2018.8378704","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378704","url":null,"abstract":"Configurable Phased Array Demonstrator (CPAD) was developed since 2010 for the scalable verification and risk mitigation of the Multi-Function Phased Array Radar (MPAR) at sub-array level. This work reviews the basic concepts and solutions of CPAD and focuses on the development of a single linear column array and multiple planned experiments of CPAD, to support the development of future Cylindrical Polarimetric Phased Array Radar (CPPAR). The paper describes several new developments related to CPAD: (1) Dual-polarized linear array as a \"column\" of a new CPPAR, (2) Scalable validation through laboratory measurements at different frequencies, (3) Virtual array through rotating platform, (4) Passive sensing with coordination of remote transmitters.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123779589","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}
Sayed Hossein Dokhanchi, M. Shankar, Thomas Stifter, B. Ottersten
{"title":"OFDM-based automotive joint radar-communication system","authors":"Sayed Hossein Dokhanchi, M. Shankar, Thomas Stifter, B. Ottersten","doi":"10.1109/RADAR.2018.8378680","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378680","url":null,"abstract":"We propose a novel automotive joint radar-communication (JRC) system, where the system first transmits OFDM sub-carriers for radar processing followed by sub-carriers enabling radar and communication functionalities. The receiver processing includes iterative estimation of parameters to alleviate the shortage of samples to estimate range. The receiver first estimates the target parameters from the sub-carriers dedicated to radar; these parameters then determine the channel for the communication link. The communication data is then extracted, thereby enabling the use of all the carriers for improving the range estimation. It is shown that the range estimation improves significantly after efficient use of all the sub-carriers. Furthermore, for radar parameter estimation, we propose an effective iterative method based on alternating least square (ALS) to recover the angle of arrival (AoA), Doppler and Range. Numerical results demonstrate the feasibility of our proposed system.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115172157","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}
Ke Tan, Yulin Huang, Wenchao Li, Yongchao Zhang, Qian Zhang, Jianyu Yang
{"title":"Space variant-based sparse regularization super-resolution imaging method for forward-looking scanning radar","authors":"Ke Tan, Yulin Huang, Wenchao Li, Yongchao Zhang, Qian Zhang, Jianyu Yang","doi":"10.1109/RADAR.2018.8378799","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378799","url":null,"abstract":"Regularization is an efficient technology for radar forward-looking imaging. Nevertheless, for high-speed moving platforms, the antenna pattern will normally be distorted, and therefore the imaging performance of the traditional regularization method will be seriously deteriorated. This paper proposes a space variant sparse regularization super-resolution imaging method for high-speed moving forward-looking scanning radar. By analyzing the time-variant relationship between the scanning angle and the sight angle, the pattern aberration is firstly analyzed. Then an efficient piecewise constant model is established for the sake of low computational complexity and restoring cost. Finally, the space variant sparse regularization method has been derived based on the aberrant model. Simulation experiments demonstrate that the proposed method can improve the super-resolution performance of the high-speed platforms more efficiently than the traditional regularization method.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501731","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}
{"title":"Angle estimation using super resolution and blocking matrix in stepped multiple frequency complementary phase code radar","authors":"M. Akita, T. Inaba","doi":"10.1109/RADAR.2018.8378709","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378709","url":null,"abstract":"In this paper, two angle estimation methods for applying the stepped multiple frequency CPC radar are considered. One is 2-D Super Resolution (2-D SR) (Method I) and the other is the combination of 1-D SR and Blocking Matrix method (BM) plus monopulse angle estimation (Method II). From the simulation results, the range and angle are obtained by both methods even in the situation where the targets have same velocity and located on the very close range and angle each other. RMSEs of Method I for both range and angle are smaller than those of Method II. On the other hand, both random and bias errors of Method II are smaller than those of Method I in the experiments. The results indicated that Method II has a tolerance to the calibration errors that exists in the actual measurements.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122718185","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}
{"title":"Frequency diverse array offset jitter for range ambiguity resolution","authors":"Richard Walkerdine, Joseph Spencer, Aaron Jones","doi":"10.1109/RADAR.2018.8378701","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378701","url":null,"abstract":"With the advent of low-cost, highly capable unmanned aerial platforms, the need arises for equivalently low-cost, highly capable sensors. Traditional high-power pulsed RF systems can be costly and complicated, making them unsuitable for these applications. However, in this paper, we discuss a simplified technique and architecture for employing a continuous wave frequency diverse array radar to achieve unambiguous ranging and angle determination with an omni-directional receiver. Using a novel frequency offset jitter, we resolve range ambiguities whilst angle is resolved through comparison of time between transmission and detection for two unique scan rates. Theory and simulated results are presented to validate the method, with future work to experimentally verify the predicted performance.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"48 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127011021","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}
Jonathan Owen, S. Blunt, K. Gallagher, Patrick M. McCormick, Chris Allen, K. Sherbondy
{"title":"Nonlinear radar via intermodulation of FM noise waveform pairs","authors":"Jonathan Owen, S. Blunt, K. Gallagher, Patrick M. McCormick, Chris Allen, K. Sherbondy","doi":"10.1109/RADAR.2018.8378689","DOIUrl":"https://doi.org/10.1109/RADAR.2018.8378689","url":null,"abstract":"To take advantage of the unique scattering responses associated with nonlinear radar, the predominant approach involves the detection of target-induced harmonics elicited by the interrogation of a single spectrally pure waveform (often a tone). In contrast, we consider the impact of using a pair of high-dimensional waveforms to realize a novel nonlinear intermodulation approach. The interrogating waveforms in this case are two unique sets of FM noise waveforms that also permit the high incident power necessary to induce a nonlinear response. Both waveforms reside in the resonant region of the device under test, with their intermodulated response signal made sufficiently separable from the second-order harmonics of each individual waveform in the same band by virtue of very high dimensionality. This framework, collectively denoted as shared-spectrum pseudorandom intermodulation (SSPRInt), is demonstrated via simulation and experimentally in a loopback configuration.","PeriodicalId":379567,"journal":{"name":"2018 IEEE Radar Conference (RadarConf18)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152063","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}