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Cognitive target tracking using FDA radar for increased SINR performance 认知目标跟踪使用FDA雷达增加SINR性能
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485252
Zhe Wang, Wen-qin Wang, Jie Xiong
{"title":"Cognitive target tracking using FDA radar for increased SINR performance","authors":"Zhe Wang, Wen-qin Wang, Jie Xiong","doi":"10.1109/RADAR.2016.7485252","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485252","url":null,"abstract":"Different from a phased-array, frequency diverse array (FDA) offers a range-dependent beampattern. By jointly utilizing the advantages of cognitive radar in environment sensing and FDA with range-dependent transmit beampattern, this paper proposes a cognitive target tracking scheme using FDA radar for increased output signal-to-interferences plus noise ratio (SINR) performance due to its range-dependent interference suppression capability. The proposed method can avoid undesired strong interferences and focus to the desired targets by optimizing the frequency increment via adaptive target tracking to maximize the output SINR performance. Simulation results verify that the method yields much better SINR and significantly suppresses range-dependent interferences, which is beneficial for target detection, localization and tracking applications.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134629930","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: 6
Bistatic space-debris surveillance radar 双基地空间碎片监视雷达
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485184
S. Saillant
{"title":"Bistatic space-debris surveillance radar","authors":"S. Saillant","doi":"10.1109/RADAR.2016.7485184","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485184","url":null,"abstract":"Space Surveillance and Tracking (SST) segment is the part of Space Surveillance Awareness (SSA) program of ESA (European Space Agency) dedicated to the detection and tracking of debris in orbit around the Earth. A European consortium lead by ONERA has been constituted to realize a radar demonstrator in a realistic operational environment. It has been chosen to design, to develop, to realize and to validate one bistatic breadboard system to build a demonstrator for real radar capacities for space objects detection and tracking.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133110279","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: 5
Radar cross section calculation for subsurface objects 地下目标雷达截面计算
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485283
A. Yu, Osamudiame Idubore, M. Dimian
{"title":"Radar cross section calculation for subsurface objects","authors":"A. Yu, Osamudiame Idubore, M. Dimian","doi":"10.1109/RADAR.2016.7485283","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485283","url":null,"abstract":"In this paper we establish a layered soil model with full wave electromagnetic simulation software package FEKO to characterize subsurface objects, in particular landmines and improvised explosive devices (IED's). We perform a parametric study of the landmine Radar Cross Section (RCS) by varying the material properties (permittivity and conductivity) of the landmine, the depth of the landmine, as well as the incident wave direction. The simulation provides insight into the relationship between the physical parameters of the landmine and its radar signatures. The results are helpful in developing landmine detection systems with forward looking capability. The methodology is advantageous for accumulating landmine RCS information in a cost-effective manner.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133828687","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: 1
An l1-regularized least squares algorithm for reconstructing step-frequency ground penetrating radar images 一种用于步进频率探地雷达图像重建的11 -正则化最小二乘算法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485297
Henry C. Ogworonjo, John M. M. Anderson, M. Ndoye, L. Nguyen
{"title":"An l1-regularized least squares algorithm for reconstructing step-frequency ground penetrating radar images","authors":"Henry C. Ogworonjo, John M. M. Anderson, M. Ndoye, L. Nguyen","doi":"10.1109/RADAR.2016.7485297","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485297","url":null,"abstract":"Impulse-based ground penetrating radar (GPR) has been proposed as a way to detect landmines and improvised explosive devices (IEDs). However, a drawback of such radar systems is the difficulty in transmitting a signal with an arbitrary bandwidth and shape. Step-frequency GPR has been recognized as a way to precisely control the bandwidth and spectral shape of the transmitted pulse. In this paper, we extend a previously developed ℓ1-regularized least squares algorithm, which has been successfully applied to impulse-based GPR image reconstruction, to step-frequency GPR. We investigate the performance of the proposed algorithm using simulated step-frequency GPR data. The initial results are promising.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133876043","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: 1
Joint antenna-array calibration and direction of arrival estimation for automotive radars 车载雷达联合天线阵标定与到达方向估计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485216
M. Ikram, Murtaza Ali, Dan Wang
{"title":"Joint antenna-array calibration and direction of arrival estimation for automotive radars","authors":"M. Ikram, Murtaza Ali, Dan Wang","doi":"10.1109/RADAR.2016.7485216","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485216","url":null,"abstract":"We present an iterative method for joint antenna-array calibration and direction of arrival estimation using millimeter-wave (mm-Wave) radar operating at 77 GHz. The calibration compensates for antenna-array coupling, and phase and gain errors, and does not require any training data. This method is well suited for applications, such as automotive radars, where multiple antenna elements are packaged on a chip and where offline calibration is either expensive or is not possible. The proposed method is highly effective when the array coupling is a function of direction of arriving waves from the object. The novel optimization method proposed in the paper allows it to be used for a 2D array of any shape. Experiments using real data collected from a four-element array on a single-chip radar demonstrate the viability of the algorithm.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115557063","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: 8
Effects of radio frequency interference mitigation strategies on meteorological data 无线电频率干扰减缓战略对气象数据的影响
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485155
J. Lake, M. Yeary, C. Curtis
{"title":"Effects of radio frequency interference mitigation strategies on meteorological data","authors":"J. Lake, M. Yeary, C. Curtis","doi":"10.1109/RADAR.2016.7485155","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485155","url":null,"abstract":"The cost effectiveness and success of the United States' Multi-function Phased Array Radar (MPAR) initiative depends on its ability to execute all of its missions, including meteorological surveillance and general radar target detection and identification. Both missions rely on high quality data, which could be compromised by radio frequency interference as spectrum becomes more valuable and more users appear. Radio frequency interference has been observed at operational radar sites and will only become more prevalent in the future. Fortunately, strategies to mitigate the effects of radio frequency interference exist and more are being developed. This paper investigates the effect of several popular radio frequency interference mitigation strategies on the quality of meteorological data.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114646762","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: 2
Over-sampled polyphase code design for physical implementation with spectral and correlation consideration 考虑频谱和相关的物理实现的过采样多相码设计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485123
Dehua Zhao, Yinsheng Wei, Yongtan Liu
{"title":"Over-sampled polyphase code design for physical implementation with spectral and correlation consideration","authors":"Dehua Zhao, Yinsheng Wei, Yongtan Liu","doi":"10.1109/RADAR.2016.7485123","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485123","url":null,"abstract":"This paper presents an approach for designing continuous phase modulation (CPM) waveform with good spectral compatibility and low correlation properties. The suggested approach is to first design over-sampled polyphase code with stopband and correlation constraint, and then transform the polyphase code into CPM waveform. Applying over-sampling ensures that the resulting CPM waveform would well inherit the spectral and correlation properties from the designed polyphase code. To cope with such over-sampled code optimization, special considerations on both spectral and correlation penalty function are illustrated, and an efficient alternating projection method based on (I)FFT is proposed accordingly. Numeric results validate both the CPM waveform design approach and the over-sampled polyphase code optimization method.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766985","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: 6
Incoherent fusion of 3D InISAR images using multi-temporal and multi-static data 基于多时、多静态数据的三维InISAR图像非相干融合
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485133
F. Salvetti, E. Giusti, D. Staglianò, M. Martorella
{"title":"Incoherent fusion of 3D InISAR images using multi-temporal and multi-static data","authors":"F. Salvetti, E. Giusti, D. Staglianò, M. Martorella","doi":"10.1109/RADAR.2016.7485133","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485133","url":null,"abstract":"It has recently been demonstrated that Interferometric ISAR is able to reconstruct 3D point-like target images. However, such 3D reconstructions are generally composed of a small amount of points as the number of scatterers that can be accurately extracted from the received signal and placed in a 3D space is limited by the SNR associated to each of them. This lack of information may cause difficulties for targets identification and classification. To overcome this issue, a 3D reconstruction method based on the use of multi-temporal and multistatic data that makes use of an incoherent 3D image fusion technique is presented in this paper.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403088","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: 11
Human gait extraction from short and sparse radar dwells 基于短稀疏雷达驻留的人体步态提取
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485272
J. Piou
{"title":"Human gait extraction from short and sparse radar dwells","authors":"J. Piou","doi":"10.1109/RADAR.2016.7485272","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485272","url":null,"abstract":"This paper describes a novel approach to estimate two fundamental gait frequencies from a dismount observed by a radar that collects short dwells widely separated in time while it maintains wide area surveillance. For each dwell, range-Doppler images or chips are generated, and range versus range-rate maps are formed from few coherent processing intervals (CPIs) to obtain a spectrogram snapshot. The time duration of each spectrogram snapshot is about a quarter of the gait frequency cycle induced by the side to side movement of the body of the walking dismount, i.e., 0.25 s. At an instant of time, two spectrogram snapshots are fed to the algorithm; first, a limb mitigation filter is carried out on each spectrogram snapshot to extract the torso motion from which a Hankel matrix is computed. Next, the two Hankel matrices are concatenated into an augmented Hankel matrix to compute a set of state space matrices that give rise to the parameters associated with the dynamics of the dismount and the two fundamental gait frequencies. As time evolves, more spectrogram snapshots are generated and the gait frequencies are estimated to identify the observed dismount. Effectiveness of the gait extraction technique from sparse data is confirmed using simulated radar data from a six foot tall man that is generated using the Thalmann human motion model at six different aspect angles.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742754","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
Non-linear modeling and analysis of a solid state transmitter and receiver for electronic scan phased array radar 电子扫描相控阵雷达固态收发器非线性建模与分析
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485258
Z. Hussein, Shawn W. Yoder, P. Fox
{"title":"Non-linear modeling and analysis of a solid state transmitter and receiver for electronic scan phased array radar","authors":"Z. Hussein, Shawn W. Yoder, P. Fox","doi":"10.1109/RADAR.2016.7485258","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485258","url":null,"abstract":"A non-linear cascaded model for the design and analysis of an integrated solid-state transmitter (TX) and digital receiver (DREX) with dual-conversion mixers has been implemented for an electronic scan large phased array radar. Such a system requires a high sensitivity, low system phase noise, high clutter attenuation, and handling wide range of signal powers at its input while still producing the proper output. The non-linear model based on advanced design system harmonic balance technique.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121767721","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
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